{"id":"W3110138197","doi":"10.1016/j.jcct.2020.11.007","title":"Training and competency in cardiovascular computed tomography: Collaborative paradigm for the rising tide","year":2020,"lang":"en","type":"letter","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"National Institutes of Health; University of British Columbia; British Heart Foundation; Edwards Lifesciences; Medtronic; Abbott Laboratories; American Heart Association","keywords":"Medicine; Coronary artery disease; Fractional flow reserve; Radiology; Internal medicine; Cardiology; Coronary angiography; Medical physics; Myocardial infarction","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":["metaepi_narrow","metaepi_broad","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00211715,0.0009685532,0.004817826,0.001874193,0.0003276892,0.0003153947,0.0005637957,0.0006374946,0.000002315769],"category_scores_gemma":[0.0004247791,0.0007698558,0.01138341,0.002986226,0.0005281658,0.0002001859,0.0001531025,0.003812834,0.000001406785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001280227,"about_ca_system_score_gemma":0.000791563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007117374,"about_ca_topic_score_gemma":0.000002532986,"domain_scores_codex":[0.9935536,0.000892692,0.001612351,0.0009111569,0.002125343,0.0009048343],"domain_scores_gemma":[0.9941127,0.002259433,0.0007600541,0.001227738,0.001260565,0.0003795176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007832166,0.0002800906,0.009605264,0.003154874,0.2207918,0.02779836,0.004088082,0.04173061,0.00001639492,0.0001066313,0.6101388,0.0815059],"study_design_scores_gemma":[0.009162357,0.0006837673,0.0109507,0.002302026,0.01992754,0.003901082,0.00047431,0.002760598,0.00003505326,0.0005372438,0.948331,0.0009343324],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"commentary","genre_scores_codex":[0.001184733,0.6970805,0.1483699,0.1447399,0.004043147,0.003709079,0.0003485009,0.0001947769,0.0003294884],"genre_scores_gemma":[0.3790197,0.02266662,0.1109972,0.4211604,0.06277771,0.0004010254,0.001470993,0.001483547,0.00002274391],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.6744139,"threshold_uncertainty_score":0.9994752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01942578517929814,"score_gpt":0.2437823731332673,"score_spread":0.2243565879539691,"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."}}