{"id":"W4410337389","doi":"10.25270/jic/25.00089","title":"Artificial Intelligence for Chronic Total Occlusion Percutaneous Coronary Interventions","year":2025,"lang":"en","type":"article","venue":"The Journal of invasive cardiology/The journal of invasive cardiology","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; Western University","funders":"","keywords":"Coronary occlusion; Percutaneous coronary intervention; Psychological intervention; Percutaneous; Medicine; Cardiology; Internal medicine; Occlusion; Myocardial infarction; Psychiatry","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":[0.001156983,0.0006626554,0.0005164773,0.0009406396,0.0003469687,0.002002278,0.0006494496,0.001728767,0.005467967],"category_scores_gemma":[0.004363542,0.0001404805,0.0004998079,0.000898178,0.000856404,0.001123656,0.001053362,0.002803364,0.00218775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008071374,"about_ca_system_score_gemma":0.001102644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001001448,"about_ca_topic_score_gemma":0.0008971812,"domain_scores_codex":[0.9991574,0.0002769482,0.00007593471,0.0000861647,0.0003591535,0.00004440902],"domain_scores_gemma":[0.9985072,0.0009016747,0.0001319892,0.0000850939,0.0002907403,0.00008321876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007426855,0.00008314789,0.001241145,0.001841427,0.0001324571,0.0003233902,0.0001247597,0.008178402,0.001044209,0.1667191,0.1364035,0.6838341],"study_design_scores_gemma":[0.00003738035,0.0001701395,0.002739666,0.002436119,0.00009138804,0.001052192,0.0001383715,0.02381727,0.0008135809,0.3524787,0.6161551,0.00007007091],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.004706731,0.6641893,0.1132989,0.09835093,0.01191856,0.0001739884,0.0004769072,0.0007235169,0.1061612],"genre_scores_gemma":[0.1671656,0.6553946,0.09629666,0.0159061,0.01548336,0.000485651,0.001050586,0.0001626386,0.04805482],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005467967,"threshold_uncertainty_score":0.01829225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03742497248841851,"score_gpt":0.318513548154551,"score_spread":0.2810885756661325,"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."}}