{"id":"W4223625349","doi":"10.1016/j.jcmg.2022.02.003","title":"Clinical Validation of a Virtual Planner for Coronary Interventions Based on Coronary CT Angiography","year":2022,"lang":"en","type":"article","venue":"JACC. Cardiovascular imaging","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Novo Nordisk Fonden","keywords":"Coronary angiography; Medicine; Radiology; Angiography; Psychological intervention; Cardiology; Planner; Internal medicine; Computer science; Artificial intelligence; Myocardial infarction","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":[0.001476335,0.0001910674,0.0005840652,0.0004440258,0.0002281917,0.00002107132,0.0001665032,0.00002782968,0.0004153189],"category_scores_gemma":[0.0002595431,0.0002007823,0.007311998,0.0003453977,0.00009713408,0.0001110941,0.0001392008,0.0002795083,0.000006692178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009536582,"about_ca_system_score_gemma":0.00009964194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003141924,"about_ca_topic_score_gemma":0.000001139678,"domain_scores_codex":[0.9976829,0.0003167185,0.000731905,0.0004391255,0.0005792719,0.000250034],"domain_scores_gemma":[0.9983348,0.0004829763,0.0001678552,0.0007268865,0.0001745394,0.0001129973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001601493,0.003901217,0.7145371,0.0005003556,0.004992546,0.0008051659,0.0000795775,0.03533222,0.00005557695,0.0004365433,0.0162864,0.2214718],"study_design_scores_gemma":[0.0166473,0.00577053,0.8622681,0.001136819,0.007049621,0.00111479,0.001970433,0.03005605,0.0003658274,0.0002481027,0.07266536,0.0007070312],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8605917,0.008775182,0.1225052,0.0008911568,0.002264526,0.002594418,0.0008876535,0.0002124675,0.001277676],"genre_scores_gemma":[0.9962488,0.00003180972,0.001741413,0.0003421163,0.0001594626,0.0003438494,0.0009799948,0.00004695506,0.0001055899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2207648,"threshold_uncertainty_score":0.8187664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03967551421096182,"score_gpt":0.3329726927296657,"score_spread":0.2932971785187038,"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."}}