{"id":"W1773102371","doi":"10.1007/978-3-540-75759-7_12","title":"Towards Subject-Specific Models of the Dynamic Heart for Image-Guided Mitral Valve Surgery","year":2007,"lang":"en","type":"article","venue":"Lecture notes in computer science","topic":"Cardiac and Coronary Surgery Techniques","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Mitral annulus; Intracardiac injection; Mitral valve; Orientation (vector space); Medicine; Cardiac surgery; Position (finance); Artificial intelligence; Computer science; Computer vision; Cardiology; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00189588,0.0001583499,0.0003868514,0.0002727325,0.00009646993,0.00002941374,0.0002766729,0.00008318105,0.000005097103],"category_scores_gemma":[0.0001155819,0.0001113254,0.0006989941,0.001028196,0.0004937143,0.0001707429,0.0001239237,0.000191642,6.18437e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001468625,"about_ca_system_score_gemma":0.0003503522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005689528,"about_ca_topic_score_gemma":0.00001932269,"domain_scores_codex":[0.9982685,0.00003641273,0.0003712345,0.0004072978,0.0004650359,0.000451457],"domain_scores_gemma":[0.9984092,0.000661604,0.00008326937,0.0005393266,0.0002249204,0.00008168737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002099916,0.0001827438,0.03102782,0.0001168171,0.0000372641,0.00002807618,0.0007160958,0.002829475,0.03561626,0.0001963158,0.0007704829,0.9282687],"study_design_scores_gemma":[0.0005898746,0.0002781407,0.5579593,0.0004254162,0.00004796294,0.0005295881,0.000005313835,0.1244248,0.2911492,0.02341671,0.0006951033,0.0004785927],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2796838,0.0003497829,0.7181104,0.0007744842,0.0006240925,0.0003505597,0.000004041627,0.00005027901,0.00005261032],"genre_scores_gemma":[0.8923049,0.00001549565,0.1066755,0.0008614004,0.0001167006,0.000009315666,0.000002578288,0.00001221383,0.000001852963],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.92779,"threshold_uncertainty_score":0.4539717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02539872053703932,"score_gpt":0.2941553740492036,"score_spread":0.2687566535121643,"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."}}