{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008460851,0.0005407113,0.0005167777,0.0008851459,0.0002592672,0.001282924,0.001154169,0.001016089,0.004004424],"category_scores_gemma":[0.002097781,0.0007002926,0.001299108,0.0005858871,0.0006594235,0.0006969406,0.001884121,0.000969194,0.001225498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002929583,"about_ca_system_score_gemma":0.0006441176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009492162,"about_ca_topic_score_gemma":0.001673107,"domain_scores_codex":[0.9995838,0.00009023968,0.00002943828,0.00008755969,0.0001850152,0.00002394577],"domain_scores_gemma":[0.999428,0.0002404938,0.00004349876,0.0001890199,0.0000641067,0.00003484952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001352869,0.0001205276,0.0021176,0.000293501,0.0001874858,0.0006331896,0.0006530201,0.6411453,0.1014892,0.03583982,0.008615826,0.2087692],"study_design_scores_gemma":[0.00001414649,0.00005111121,0.0006500742,0.00002691636,0.0000291659,0.0004389807,0.00004591959,0.9540686,0.01804748,0.009940873,0.01666139,0.00002536443],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01189712,0.00005166989,0.9843582,0.00006327721,0.00004648448,0.00008498387,0.000155662,0.001480209,0.001862354],"genre_scores_gemma":[0.2044603,0.0003498856,0.7868312,0.000127343,0.00003992705,0.0003193508,0.0008951009,0.001017574,0.005959318],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004004424,"threshold_uncertainty_score":0.01339614,"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."}}