{"id":"W2006616664","doi":"10.1111/j.1467-8659.2010.01718.x","title":"Creating and Animating Subject‐Specific Anatomical Models","year":2010,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Morphing; Computer science; Artificial intelligence; Kinematics; Computer vision; Skeleton (computer programming); Segmentation; Population; Projection (relational algebra); Process (computing); Algorithm","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001447755,0.000156287,0.0001890809,0.000171116,0.0001586112,0.0001226977,0.0001360256,0.0001067533,0.000005717762],"category_scores_gemma":[0.000003657572,0.0001567983,0.00008568665,0.000221609,0.00004606888,0.0001495272,0.00006793029,0.0003997753,0.000003962655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006285413,"about_ca_system_score_gemma":0.000004573025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000010234,"about_ca_topic_score_gemma":0.00002862972,"domain_scores_codex":[0.9991524,0.000009883932,0.0002122254,0.0002159718,0.0001181737,0.0002912952],"domain_scores_gemma":[0.9995641,0.00005989115,0.00002320204,0.0002134195,0.00003846812,0.0001008902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001534675,0.0001241956,0.02642288,0.0003075647,0.0005106753,0.00005180594,0.002975062,0.3885223,0.01639367,0.395685,0.004637284,0.1643543],"study_design_scores_gemma":[0.0001266203,0.00001017219,0.0002495625,0.00001933235,0.00001105051,0.00001191266,0.00002384556,0.9902715,0.0001943707,0.008675132,0.0002236113,0.000182865],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5608781,0.0002256612,0.4378024,0.00004147331,0.0001831727,0.00003277377,0.00000276464,0.0002668929,0.0005668041],"genre_scores_gemma":[0.9788578,0.00008184655,0.02079182,0.00006368477,0.0001564926,0.00000352956,0.000007182057,0.0000325243,0.000005132221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6017492,"threshold_uncertainty_score":0.6394051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01084109428411536,"score_gpt":0.2034937321258887,"score_spread":0.1926526378417733,"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."}}