Moltex v2 — 20261020 / 085201_790574d2

Before/after exclusion comparison · 6 datasets / 1,227 weak label targets; all 70 checkpoints checked.

14 datasets · 6 designs · 0 scored records

Training status: completed_with_weak_training · 280 trained prediction records · 63 folds with epoch losses

PNG results, losses & training diagnosis · CAD / scan / label / model-input visualizer

— = no valid score. Diagnostic and training-fit outputs are separate from unseen-design evaluation.

Model checks against weak labels

Training fit and held-out-design agreement are separate; these are not independently reviewed accuracy.

ModelProtocolDatasetsBCEAPIoU
cnn2d_unetleave_one_design_out60.22800.09790.0000
cnn2d_unettrain_all60.07050.84410.2326
dgcnnleave_one_design_out60.19250.06660.0000
dgcnntrain_all60.17200.06240.0000
fno2dleave_one_design_out60.32110.03770.0000
fno2dtrain_all60.09120.77260.0294
gaussian_processleave_one_design_out60.45300.07450.0000
gaussian_processtrain_all60.12920.73320.4473
meshgraphnetleave_one_design_out60.18740.08080.0000
meshgraphnettrain_all60.17250.09210.0000
physics_risk_gnnleave_one_design_out60.18790.08860.0000
physics_risk_gnntrain_all60.17190.09750.0000
pointnetleave_one_design_out60.19200.05750.0000
pointnettrain_all60.17200.08860.0000
tabular_mlpleave_one_design_out60.19450.07840.0000
tabular_mlptrain_all60.16920.07110.0000
unet3dleave_one_design_out60.35070.03480.0000
unet3dtrain_all60.04270.90930.7565
uvnetleave_one_design_out60.21290.05620.0000
uvnettrain_all60.16910.09500.0000

Average scores

ModelProtocolScored datasetsMAERMSEAPIoUDice
cnn2d_unetdiagnostic0—————
cnn2d_unetleave_one_design_out0—————
cnn2d_unettrain_all0—————
dgcnndiagnostic0—————
dgcnnleave_one_design_out0—————
dgcnntrain_all0—————
fno2ddiagnostic0—————
fno2dleave_one_design_out0—————
fno2dtrain_all0—————
gaussian_processdiagnostic0—————
gaussian_processleave_one_design_out0—————
gaussian_processtrain_all0—————
meshgraphnetdiagnostic0—————
meshgraphnetleave_one_design_out0—————
meshgraphnettrain_all0—————
physics_risk_gnndiagnostic0—————
physics_risk_gnnleave_one_design_out0—————
physics_risk_gnntrain_all0—————
pointnetdiagnostic0—————
pointnetleave_one_design_out0—————
pointnettrain_all0—————
sparse_unetdiagnostic0—————
sparse_unetleave_one_design_out0—————
sparse_unettrain_all0—————
tabular_mlpdiagnostic0—————
tabular_mlpleave_one_design_out0—————
tabular_mlptrain_all0—————
unet3ddiagnostic0—————
unet3dleave_one_design_out0—————
unet3dtrain_all0—————
uvnetdiagnostic0—————
uvnetleave_one_design_out0—————
uvnettrain_all0—————

Individual and detailed scores

Individual scores · Detailed predictions/targets · Data and code provenance

Explanations

{'evaluation_protocols': {'leave_one_design_out': 'All records sharing a design-file SHA256 are held out together. Fit and preprocessing statistics use training records only.', 'per_design': "Fit each design's reviewed records and evaluate those same records. This is training fit only.", 'train_all': 'Experimental fit on eligible automatic scan-projected weak labels. Predictions are training-fit diagnostics, not independently reviewed accuracy.', 'diagnostic': 'Untrained actual-input forward passes. No accuracy is calculated.'}, 'data_selection': 'complete CAT + EXCEL + CSV + PLY matches; known duplicate sample groups excluded', 'targets': 'User-selected scan/CAD pairs with recorded mirrored frames and CAD-supported scan regions. Node targets remain automatic weak CSV/raster projections; unannotated covered nodes outside guarded regions are assumed negative.', 'scores': 'Independently reviewed accuracy is unavailable for weak supervision. Real optimizer epoch losses and checkpoints are saved; weak-label predictions never enter reviewed score averages.', 'averaging': 'Macro means are per dataset, not per node. Unscored records never enter the average.', 'uncertainty': 'GP posterior standard deviations are available when fitted. Other models have no calibrated uncertainty claim.', 'deformation': 'Physics GNN deformation/type heads are not supervised by this node-risk contract and are not scored.', 'limitations': 'User confirmation applies to pair inclusion. CAD-node ground truth remains unreviewed. Rejected CSV rows and their nearby assumed negatives are masked; source choices, reflection, raw residuals and partial scan coverage remain recorded.', 'statuses': {'untrained_diagnostic': 126, 'completed': 280, 'requires_training_labels': 14, 'unavailable_backend': 42}, 'failures': [{'model_id': 'gaussian_process', 'protocol': 'diagnostic', 'design_id': 'AC28_DT_RR_FRT_UPR_LH_07d0fbeba5ef', 'dataset_id': 'AC28_DT_FRT_UPR_LHD_20260909_15_15__NG_a22f7d301de4', 'status': 'requires_training_labels', 'reason': 'GP requires a fitted training posterior; no random/synthetic prior score emitted'}, {'model_id': 'gaussian_process', 'protocol': 'diagnostic', 'design_id': 'AC28_DT_RR_UPR_STD_6f8b270d95b5', 'dataset_id': 'AC28_DT_RR_UPR_STD_1_20260827_18_01__NG_7194c0e36c7b', 'status': 'requires_training_labels', 'reason': 'GP requires a fitted training posterior; no random/synthetic prior score emitted'}, {'model_id': 'gaussian_process', 'protocol': 'diagnostic', 'design_id': 'AC28_DT_RR_UPR_STD_6f8b270d95b5', 'dataset_id': 'AC28_DT_RR_UPR_STD_20260827_16__NG_008adde420f0', 'status': 'requires_training_labels', 'reason': 'GP requires a fitted training posterior; no random/synthetic prior score emitted'}, {'model_id': 'gaussian_process', 'protocol': 'diagnostic', 'design_id': 'AC28_DT_RR_UPR_STD_6f8b270d95b5', 'dataset_id': 'AC28_DT_RR_UPR_STD_20260828_09_21__NG_f4c68f38e467', 'status': 'requires_training_labels', 'reason': 'GP requires a fitted training posterior; no random/synthetic prior score emitted'}, {'model_id': 'gaussian_process', 'protocol': 'diagnostic', 'design_id': 'AC28_DT_RR_UPR_STD_6f8b270d95b5', 'dataset_id': 'AC28_DT_RR_UPR_STD_2_20260827_18_01__NG_8df93616f7ea', 'status': 'requires_training_labels', 'reason': 'GP requires a fitted training posterior; no random/synthetic prior score emitted'}, {'model_id': 'gaussian_process', 'protocol': 'diagnostic', 'design_id': 'LT2_DT_FRT_AREST_IMG-261014_35afb132841b', 'dataset_id': 'LT2_DT_FRT_AREST2_20260914_15_10__NG_243895937535', 'status': 'requires_training_labels', 'reason': 'GP requires a fitted training posterior; no random/synthetic prior score emitted'}, {'model_id': 'gaussian_process', 'protocol': 'diagnostic', 'design_id': 'ME1a_DT_FRT_UPR_LHD_94719179587d', 'dataset_id': 'ME1a_DT_FRT_UPR_LHD_20260608_14_06__NG_ffc4fce5d996', 'status': 'requires_training_labels', 'reason': 'GP requires a fitted training posterior; no random/synthetic prior score emitted'}, {'model_id': 'gaussian_process', 'protocol': 'diagnostic', 'design_id': 'MX5a_PE_DT_RR_ARMREST_LRH_261014_3e74cd458a06', 'dataset_id': 'MX5a_PE_DT_RR_AREST_1_20260626_13_08__NG_fe0e1b9b8b53', 'status': 'requires_training_labels', 'reason': 'GP requires a fitted training posterior; no random/synthetic prior score emitted'}, {'model_id': 'gaussian_process', 'protocol': 'diagnostic', 'design_id': 'MX5a_PE_DT_RR_ARMREST_LRH_261014_3e74cd458a06', 'dataset_id': 'MX5a_PE_DT_RR_AREST_2_20260626_13_08__NG_41ec5d7a218e', 'status': 'requires_training_labels', 'reason': 'GP requires a fitted training posterior; no random/synthetic prior score emitted'}, {'model_id': 'gaussian_process', 'protocol': 'diagnostic', 'design_id': 'NX5___RR_DT_UPR_2_CUR_TPO___261014_d11283a03a71', 'dataset_id': 'NX5_DT_RR_UPR-2_CUR_1_20260916_10_40__NG_1f98f526a60c', 'status': 'requires_training_labels', 'reason': 'GP requires a fitted training posterior; no random/synthetic prior score emitted'}, {'model_id': 'gaussian_process', 'protocol': 'diagnostic', 'design_id': 'NX5___RR_DT_UPR_2_CUR_TPO___261014_d11283a03a71', 'dataset_id': 'NX5_DT_RR_UPR-2_CUR_1_20260916_10_53__NG_b3a8f50d89ae', 'status': 'requires_training_labels', 'reason': 'GP requires a fitted training posterior; no random/synthetic prior score emitted'}, {'model_id': 'gaussian_process', 'protocol': 'diagnostic', 'design_id': 'NX5___RR_DT_UPR_2_CUR_TPO___261014_d11283a03a71', 'dataset_id': 'NX5_DT_RR_UPR-2_CUR_1_20260916_11_40__NG_1b598f48d4e1', 'status': 'requires_training_labels', 'reason': 'GP requires a fitted training posterior; no random/synthetic prior score emitted'}, {'model_id': 'gaussian_process', 'protocol': 'diagnostic', 'design_id': 'NX5___RR_DT_UPR_2_CUR_TPO___261014_d11283a03a71', 'dataset_id': 'NX5_DT_RR_UPR-2_CUR_2_20260916_10_40__NG_4debd31ebf8a', 'status': 'requires_training_labels', 'reason': 'GP requires a fitted training posterior; no random/synthetic prior score emitted'}, {'model_id': 'gaussian_process', 'protocol': 'diagnostic', 'design_id': 'NX5___RR_DT_UPR_2_CUR_TPO___261014_d11283a03a71', 'dataset_id': 'NX5_DT_RR_UPR-2_CUR_2_20260916_10_53__NG_a9e70207f7eb', 'status': 'requires_training_labels', 'reason': 'GP requires a fitted training posterior; no random/synthetic prior score emitted'}, {'model_id': 'sparse_unet', 'protocol': 'diagnostic', 'design_id': 'AC28_DT_RR_FRT_UPR_LH_07d0fbeba5ef', 'dataset_id': 'AC28_DT_FRT_UPR_LHD_20260909_15_15__NG_a22f7d301de4', 'status': 'unavailable_backend', 'reason': 'RuntimeError: RuntimeError: Sparse U-Net unavailable: install optional MinkowskiEngine; dense tensors are not a sparse substitute.'}, {'model_id': 'sparse_unet', 'protocol': 'diagnostic', 'design_id': 'AC28_DT_RR_UPR_STD_6f8b270d95b5', 'dataset_id': 'AC28_DT_RR_UPR_STD_1_20260827_18_01__NG_7194c0e36c7b', 'status': 'unavailable_backend', 'reason': 'RuntimeError: RuntimeError: Sparse U-Net unavailable: install optional MinkowskiEngine; dense tensors are not a sparse substitute.'}, {'model_id': 'sparse_unet', 'protocol': 'diagnostic', 'design_id': 'AC28_DT_RR_UPR_STD_6f8b270d95b5', 'dataset_id': 'AC28_DT_RR_UPR_STD_20260827_16__NG_008adde420f0', 'status': 'unavailable_backend', 'reason': 'RuntimeError: RuntimeError: Sparse U-Net unavailable: install optional MinkowskiEngine; dense tensors are not a sparse substitute.'}, {'model_id': 'sparse_unet', 'protocol': 'diagnostic', 'design_id': 'AC28_DT_RR_UPR_STD_6f8b270d95b5', 'dataset_id': 'AC28_DT_RR_UPR_STD_20260828_09_21__NG_f4c68f38e467', 'status': 'unavailable_backend', 'reason': 'RuntimeError: RuntimeError: Sparse U-Net unavailable: install optional MinkowskiEngine; dense tensors are not a sparse substitute.'}, {'model_id': 'sparse_unet', 'protocol': 'diagnostic', 'design_id': 'AC28_DT_RR_UPR_STD_6f8b270d95b5', 'dataset_id': 'AC28_DT_RR_UPR_STD_2_20260827_18_01__NG_8df93616f7ea', 'status': 'unavailable_backend', 'reason': 'RuntimeError: RuntimeError: Sparse U-Net unavailable: install optional MinkowskiEngine; dense tensors are not a sparse substitute.'}, {'model_id': 'sparse_unet', 'protocol': 'diagnostic', 'design_id': 'LT2_DT_FRT_AREST_IMG-261014_35afb132841b', 'dataset_id': 'LT2_DT_FRT_AREST2_20260914_15_10__NG_243895937535', 'status': 'unavailable_backend', 'reason': 'RuntimeError: RuntimeError: Sparse U-Net unavailable: install optional MinkowskiEngine; dense tensors are not a sparse substitute.'}, {'model_id': 'sparse_unet', 'protocol': 'diagnostic', 'design_id': 'ME1a_DT_FRT_UPR_LHD_94719179587d', 'dataset_id': 'ME1a_DT_FRT_UPR_LHD_20260608_14_06__NG_ffc4fce5d996', 'status': 'unavailable_backend', 'reason': 'RuntimeError: RuntimeError: Sparse U-Net unavailable: install optional MinkowskiEngine; dense tensors are not a sparse substitute.'}, {'model_id': 'sparse_unet', 'protocol': 'diagnostic', 'design_id': 'MX5a_PE_DT_RR_ARMREST_LRH_261014_3e74cd458a06', 'dataset_id': 'MX5a_PE_DT_RR_AREST_1_20260626_13_08__NG_fe0e1b9b8b53', 'status': 'unavailable_backend', 'reason': 'RuntimeError: RuntimeError: Sparse U-Net unavailable: install optional MinkowskiEngine; dense tensors are not a sparse substitute.'}, {'model_id': 'sparse_unet', 'protocol': 'diagnostic', 'design_id': 'MX5a_PE_DT_RR_ARMREST_LRH_261014_3e74cd458a06', 'dataset_id': 'MX5a_PE_DT_RR_AREST_2_20260626_13_08__NG_41ec5d7a218e', 'status': 'unavailable_backend', 'reason': 'RuntimeError: RuntimeError: Sparse U-Net unavailable: install optional MinkowskiEngine; dense tensors are not a sparse substitute.'}, {'model_id': 'sparse_unet', 'protocol': 'diagnostic', 'design_id': 'NX5___RR_DT_UPR_2_CUR_TPO___261014_d11283a03a71', 'dataset_id': 'NX5_DT_RR_UPR-2_CUR_1_20260916_10_40__NG_1f98f526a60c', 'status': 'unavailable_backend', 'reason': 'RuntimeError: RuntimeError: Sparse U-Net unavailable: install optional MinkowskiEngine; dense tensors are not a sparse substitute.'}, {'model_id': 'sparse_unet', 'protocol': 'diagnostic', 'design_id': 'NX5___RR_DT_UPR_2_CUR_TPO___261014_d11283a03a71', 'dataset_id': 'NX5_DT_RR_UPR-2_CUR_1_20260916_10_53__NG_b3a8f50d89ae', 'status': 'unavailable_backend', 'reason': 'RuntimeError: RuntimeError: Sparse U-Net unavailable: install optional MinkowskiEngine; dense tensors are not a sparse substitute.'}, {'model_id': 'sparse_unet', 'protocol': 'diagnostic', 'design_id': 'NX5___RR_DT_UPR_2_CUR_TPO___261014_d11283a03a71', 'dataset_id': 'NX5_DT_RR_UPR-2_CUR_1_20260916_11_40__NG_1b598f48d4e1', 'status': 'unavailable_backend', 'reason': 'RuntimeError: RuntimeError: Sparse U-Net unavailable: install optional MinkowskiEngine; dense tensors are not a sparse substitute.'}, {'model_id': 'sparse_unet', 'protocol': 'diagnostic', 'design_id': 'NX5___RR_DT_UPR_2_CUR_TPO___261014_d11283a03a71', 'dataset_id': 'NX5_DT_RR_UPR-2_CUR_2_20260916_10_40__NG_4debd31ebf8a', 'status': 'unavailable_backend', 'reason': 'RuntimeError: RuntimeError: Sparse U-Net unavailable: install optional MinkowskiEngine; dense tensors are not a sparse substitute.'}, {'model_id': 'sparse_unet', 'protocol': 'diagnostic', 'design_id': 'NX5___RR_DT_UPR_2_CUR_TPO___261014_d11283a03a71', 'dataset_id': 'NX5_DT_RR_UPR-2_CUR_2_20260916_10_53__NG_a9e70207f7eb', 'status': 'unavailable_backend', 'reason': 'RuntimeError: RuntimeError: Sparse U-Net unavailable: install optional MinkowskiEngine; dense tensors are not a sparse substitute.'}, {'model_id': 'sparse_unet', 'protocol': 'leave_one_design_out', 'design_id': 'AC28_DT_RR_FRT_UPR_LH_07d0fbeba5ef', 'dataset_id': 'AC28_DT_FRT_UPR_LHD_20260909_15_15__NG_a22f7d301de4', 'status': 'unavailable_backend', 'reason': 'RuntimeError: Sparse U-Net unavailable: install optional MinkowskiEngine; dense tensors are not a sparse substitute.'}, {'model_id': 'sparse_unet', 'protocol': 'leave_one_design_out', 'design_id': 'AC28_DT_RR_UPR_STD_6f8b270d95b5', 'dataset_id': 'AC28_DT_RR_UPR_STD_1_20260827_18_01__NG_7194c0e36c7b', 'status': 'unavailable_backend', 'reason': 'RuntimeError: Sparse U-Net unavailable: install optional MinkowskiEngine; dense tensors are not a sparse substitute.'}, {'model_id': 'sparse_unet', 'protocol': 'leave_one_design_out', 'design_id': 'AC28_DT_RR_UPR_STD_6f8b270d95b5', 'dataset_id': 'AC28_DT_RR_UPR_STD_20260827_16__NG_008adde420f0', 'status': 'unavailable_backend', 'reason': 'RuntimeError: Sparse U-Net unavailable: install optional MinkowskiEngine; dense tensors are not a sparse substitute.'}, {'model_id': 'sparse_unet', 'protocol': 'leave_one_design_out', 'design_id': 'AC28_DT_RR_UPR_STD_6f8b270d95b5', 'dataset_id': 'AC28_DT_RR_UPR_STD_20260828_09_21__NG_f4c68f38e467', 'status': 'unavailable_backend', 'reason': 'RuntimeError: Sparse U-Net unavailable: install optional MinkowskiEngine; dense tensors are not a sparse substitute.'}, {'model_id': 'sparse_unet', 'protocol': 'leave_one_design_out', 'design_id': 'AC28_DT_RR_UPR_STD_6f8b270d95b5', 'dataset_id': 'AC28_DT_RR_UPR_STD_2_20260827_18_01__NG_8df93616f7ea', 'status': 'unavailable_backend', 'reason': 'RuntimeError: Sparse U-Net unavailable: install optional MinkowskiEngine; dense tensors are not a sparse substitute.'}, {'model_id': 'sparse_unet', 'protocol': 'leave_one_design_out', 'design_id': 'LT2_DT_FRT_AREST_IMG-261014_35afb132841b', 'dataset_id': 'LT2_DT_FRT_AREST2_20260914_15_10__NG_243895937535', 'status': 'unavailable_backend', 'reason': 'RuntimeError: Sparse U-Net unavailable: install optional MinkowskiEngine; dense tensors are not a sparse substitute.'}, {'model_id': 'sparse_unet', 'protocol': 'leave_one_design_out', 'design_id': 'ME1a_DT_FRT_UPR_LHD_94719179587d', 'dataset_id': 'ME1a_DT_FRT_UPR_LHD_20260608_14_06__NG_ffc4fce5d996', 'status': 'unavailable_backend', 'reason': 'RuntimeError: Sparse U-Net unavailable: install optional MinkowskiEngine; dense tensors are not a sparse substitute.'}, {'model_id': 'sparse_unet', 'protocol': 'leave_one_design_out', 'design_id': 'MX5a_PE_DT_RR_ARMREST_LRH_261014_3e74cd458a06', 'dataset_id': 'MX5a_PE_DT_RR_AREST_1_20260626_13_08__NG_fe0e1b9b8b53', 'status': 'unavailable_backend', 'reason': 'RuntimeError: Sparse U-Net unavailable: install optional MinkowskiEngine; dense tensors are not a sparse substitute.'}, {'model_id': 'sparse_unet', 'protocol': 'leave_one_design_out', 'design_id': 'MX5a_PE_DT_RR_ARMREST_LRH_261014_3e74cd458a06', 'dataset_id': 'MX5a_PE_DT_RR_AREST_2_20260626_13_08__NG_41ec5d7a218e', 'status': 'unavailable_backend', 'reason': 'RuntimeError: Sparse U-Net unavailable: install optional MinkowskiEngine; dense tensors are not a sparse substitute.'}, {'model_id': 'sparse_unet', 'protocol': 'leave_one_design_out', 'design_id': 'NX5___RR_DT_UPR_2_CUR_TPO___261014_d11283a03a71', 'dataset_id': 'NX5_DT_RR_UPR-2_CUR_1_20260916_10_40__NG_1f98f526a60c', 'status': 'unavailable_backend', 'reason': 'RuntimeError: Sparse U-Net unavailable: install optional MinkowskiEngine; dense tensors are not a sparse substitute.'}, {'model_id': 'sparse_unet', 'protocol': 'leave_one_design_out', 'design_id': 'NX5___RR_DT_UPR_2_CUR_TPO___261014_d11283a03a71', 'dataset_id': 'NX5_DT_RR_UPR-2_CUR_1_20260916_10_53__NG_b3a8f50d89ae', 'status': 'unavailable_backend', 'reason': 'RuntimeError: Sparse U-Net unavailable: install optional MinkowskiEngine; dense tensors are not a sparse substitute.'}, {'model_id': 'sparse_unet', 'protocol': 'leave_one_design_out', 'design_id': 'NX5___RR_DT_UPR_2_CUR_TPO___261014_d11283a03a71', 'dataset_id': 'NX5_DT_RR_UPR-2_CUR_1_20260916_11_40__NG_1b598f48d4e1', 'status': 'unavailable_backend', 'reason': 'RuntimeError: Sparse U-Net unavailable: install optional MinkowskiEngine; dense tensors are not a sparse substitute.'}, {'model_id': 'sparse_unet', 'protocol': 'leave_one_design_out', 'design_id': 'NX5___RR_DT_UPR_2_CUR_TPO___261014_d11283a03a71', 'dataset_id': 'NX5_DT_RR_UPR-2_CUR_2_20260916_10_40__NG_4debd31ebf8a', 'status': 'unavailable_backend', 'reason': 'RuntimeError: Sparse U-Net unavailable: install optional MinkowskiEngine; dense tensors are not a sparse substitute.'}, {'model_id': 'sparse_unet', 'protocol': 'leave_one_design_out', 'design_id': 'NX5___RR_DT_UPR_2_CUR_TPO___261014_d11283a03a71', 'dataset_id': 'NX5_DT_RR_UPR-2_CUR_2_20260916_10_53__NG_a9e70207f7eb', 'status': 'unavailable_backend', 'reason': 'RuntimeError: Sparse U-Net unavailable: install optional MinkowskiEngine; dense tensors are not a sparse substitute.'}, {'model_id': 'sparse_unet', 'protocol': 'train_all', 'design_id': 'AC28_DT_RR_FRT_UPR_LH_07d0fbeba5ef', 'dataset_id': 'AC28_DT_FRT_UPR_LHD_20260909_15_15__NG_a22f7d301de4', 'status': 'unavailable_backend', 'reason': 'RuntimeError: Sparse U-Net unavailable: install optional MinkowskiEngine; dense tensors are not a sparse substitute.'}, {'model_id': 'sparse_unet', 'protocol': 'train_all', 'design_id': 'AC28_DT_RR_UPR_STD_6f8b270d95b5', 'dataset_id': 'AC28_DT_RR_UPR_STD_1_20260827_18_01__NG_7194c0e36c7b', 'status': 'unavailable_backend', 'reason': 'RuntimeError: Sparse U-Net unavailable: install optional MinkowskiEngine; dense tensors are not a sparse substitute.'}, {'model_id': 'sparse_unet', 'protocol': 'train_all', 'design_id': 'AC28_DT_RR_UPR_STD_6f8b270d95b5', 'dataset_id': 'AC28_DT_RR_UPR_STD_20260827_16__NG_008adde420f0', 'status': 'unavailable_backend', 'reason': 'RuntimeError: Sparse U-Net unavailable: install optional MinkowskiEngine; dense tensors are not a sparse substitute.'}, {'model_id': 'sparse_unet', 'protocol': 'train_all', 'design_id': 'AC28_DT_RR_UPR_STD_6f8b270d95b5', 'dataset_id': 'AC28_DT_RR_UPR_STD_20260828_09_21__NG_f4c68f38e467', 'status': 'unavailable_backend', 'reason': 'RuntimeError: Sparse U-Net unavailable: install optional MinkowskiEngine; dense tensors are not a sparse substitute.'}, {'model_id': 'sparse_unet', 'protocol': 'train_all', 'design_id': 'AC28_DT_RR_UPR_STD_6f8b270d95b5', 'dataset_id': 'AC28_DT_RR_UPR_STD_2_20260827_18_01__NG_8df93616f7ea', 'status': 'unavailable_backend', 'reason': 'RuntimeError: Sparse U-Net unavailable: install optional MinkowskiEngine; dense tensors are not a sparse substitute.'}, {'model_id': 'sparse_unet', 'protocol': 'train_all', 'design_id': 'LT2_DT_FRT_AREST_IMG-261014_35afb132841b', 'dataset_id': 'LT2_DT_FRT_AREST2_20260914_15_10__NG_243895937535', 'status': 'unavailable_backend', 'reason': 'RuntimeError: Sparse U-Net unavailable: install optional MinkowskiEngine; dense tensors are not a sparse substitute.'}, {'model_id': 'sparse_unet', 'protocol': 'train_all', 'design_id': 'ME1a_DT_FRT_UPR_LHD_94719179587d', 'dataset_id': 'ME1a_DT_FRT_UPR_LHD_20260608_14_06__NG_ffc4fce5d996', 'status': 'unavailable_backend', 'reason': 'RuntimeError: Sparse U-Net unavailable: install optional MinkowskiEngine; dense tensors are not a sparse substitute.'}, {'model_id': 'sparse_unet', 'protocol': 'train_all', 'design_id': 'MX5a_PE_DT_RR_ARMREST_LRH_261014_3e74cd458a06', 'dataset_id': 'MX5a_PE_DT_RR_AREST_1_20260626_13_08__NG_fe0e1b9b8b53', 'status': 'unavailable_backend', 'reason': 'RuntimeError: Sparse U-Net unavailable: install optional MinkowskiEngine; dense tensors are not a sparse substitute.'}, {'model_id': 'sparse_unet', 'protocol': 'train_all', 'design_id': 'MX5a_PE_DT_RR_ARMREST_LRH_261014_3e74cd458a06', 'dataset_id': 'MX5a_PE_DT_RR_AREST_2_20260626_13_08__NG_41ec5d7a218e', 'status': 'unavailable_backend', 'reason': 'RuntimeError: Sparse U-Net unavailable: install optional MinkowskiEngine; dense tensors are not a sparse substitute.'}, {'model_id': 'sparse_unet', 'protocol': 'train_all', 'design_id': 'NX5___RR_DT_UPR_2_CUR_TPO___261014_d11283a03a71', 'dataset_id': 'NX5_DT_RR_UPR-2_CUR_1_20260916_10_40__NG_1f98f526a60c', 'status': 'unavailable_backend', 'reason': 'RuntimeError: Sparse U-Net unavailable: install optional MinkowskiEngine; dense tensors are not a sparse substitute.'}, {'model_id': 'sparse_unet', 'protocol': 'train_all', 'design_id': 'NX5___RR_DT_UPR_2_CUR_TPO___261014_d11283a03a71', 'dataset_id': 'NX5_DT_RR_UPR-2_CUR_1_20260916_10_53__NG_b3a8f50d89ae', 'status': 'unavailable_backend', 'reason': 'RuntimeError: Sparse U-Net unavailable: install optional MinkowskiEngine; dense tensors are not a sparse substitute.'}, {'model_id': 'sparse_unet', 'protocol': 'train_all', 'design_id': 'NX5___RR_DT_UPR_2_CUR_TPO___261014_d11283a03a71', 'dataset_id': 'NX5_DT_RR_UPR-2_CUR_1_20260916_11_40__NG_1b598f48d4e1', 'status': 'unavailable_backend', 'reason': 'RuntimeError: Sparse U-Net unavailable: install optional MinkowskiEngine; dense tensors are not a sparse substitute.'}, {'model_id': 'sparse_unet', 'protocol': 'train_all', 'design_id': 'NX5___RR_DT_UPR_2_CUR_TPO___261014_d11283a03a71', 'dataset_id': 'NX5_DT_RR_UPR-2_CUR_2_20260916_10_40__NG_4debd31ebf8a', 'status': 'unavailable_backend', 'reason': 'RuntimeError: Sparse U-Net unavailable: install optional MinkowskiEngine; dense tensors are not a sparse substitute.'}, {'model_id': 'sparse_unet', 'protocol': 'train_all', 'design_id': 'NX5___RR_DT_UPR_2_CUR_TPO___261014_d11283a03a71', 'dataset_id': 'NX5_DT_RR_UPR-2_CUR_2_20260916_10_53__NG_a9e70207f7eb', 'status': 'unavailable_backend', 'reason': 'RuntimeError: Sparse U-Net unavailable: install optional MinkowskiEngine; dense tensors are not a sparse substitute.'}], 'training_exclusions': {'dataset_ids': ['AC28_DT_RR_UPR_STD_1_20260827_18_01__NG_7194c0e36c7b'], 'policy': 'Excluded from every model fit and model-check cohort; retained for inspection and separately marked held-out predictions.'}}