{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006328721,0.0004809097,0.000513881,0.00073855,0.0003138327,0.00126448,0.001043922,0.0007004724,0.00190416],"category_scores_gemma":[0.02288719,0.0004954306,0.0003540807,0.0003359061,0.0008435289,0.0004750437,0.0008876862,0.0004209272,0.0005725283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005409603,"about_ca_system_score_gemma":0.0008905784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001722544,"about_ca_topic_score_gemma":0.001101973,"domain_scores_codex":[0.9976429,0.001529971,0.0001008618,0.0002965142,0.0003684057,0.00006123317],"domain_scores_gemma":[0.9938853,0.003480648,0.0005436211,0.001098525,0.0006870687,0.0003048409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0181895,0.002147361,0.3031661,0.0004144137,0.0003245281,0.001619983,0.001890375,0.3264031,0.03524087,0.00407346,0.004267732,0.3022626],"study_design_scores_gemma":[0.001208942,0.007411359,0.09361232,0.0001055388,0.0001537387,0.001855364,0.0004018449,0.8739507,0.01317173,0.002410811,0.005542282,0.0001753455],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8462431,0.0002963811,0.1463638,0.0002641287,0.00008867214,0.001284341,0.0006796473,0.001509297,0.003270569],"genre_scores_gemma":[0.9467983,0.00005781344,0.05216048,0.00006136902,0.00001827766,0.0003015373,0.0002803732,0.0000795578,0.0002422779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006328721,"threshold_uncertainty_score":0.03346986,"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."}}