{"id":"W2070557604","doi":"10.1117/12.593948","title":"Computing the thickness of the ventricular heart wall from 3D MRI images","year":2005,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Medical Image Segmentation Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Ventricle; Voxel; Segmentation; Image segmentation; Artificial intelligence; Medicine; Cardiology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000702157,0.0006319183,0.0005119377,0.002719361,0.0003597493,0.001355913,0.0006523973,0.0006855596,0.001237076],"category_scores_gemma":[0.002439543,0.0006652041,0.000507415,0.0007706037,0.00046518,0.0008930558,0.0008107283,0.0005850992,0.0008379247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003012217,"about_ca_system_score_gemma":0.0005899835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001150761,"about_ca_topic_score_gemma":0.001927835,"domain_scores_codex":[0.9994864,0.00007031875,0.00005174034,0.0000817029,0.0002582614,0.0000515224],"domain_scores_gemma":[0.9991296,0.0002950064,0.0001686734,0.0001328405,0.0002186207,0.00005519527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00038065,0.00005999089,0.01060674,0.0005177697,0.0001648668,0.0007344526,0.0004225463,0.02444657,0.673452,0.003384643,0.001606687,0.2842232],"study_design_scores_gemma":[0.00008260326,0.0004588294,0.07660154,0.0002258886,0.0002166842,0.005494756,0.0005583066,0.3959001,0.4930271,0.01264189,0.01445765,0.0003345921],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1948893,0.0008280221,0.7998118,0.0001079156,0.00008329313,0.00008494234,0.0005597919,0.002121945,0.001513016],"genre_scores_gemma":[0.3693793,0.001221741,0.6261919,0.00005738159,0.00006255489,0.0001324853,0.001132112,0.0004816976,0.001340912],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002719361,"threshold_uncertainty_score":0.00413841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008972983975757002,"score_gpt":0.2380442769321416,"score_spread":0.2290712929563846,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}