{"id":"W3140747459","doi":"10.1148/ryct.2020200480","title":"2020 SCCT Guideline for Training Cardiology and Radiology Trainees as Independent Practitioners (Level II) and Advanced Practitioners (Level III) in Cardiovascular Computed Tomography: A Statement from the Society of Cardiovascular Computed Tomography","year":2020,"lang":"en","type":"article","venue":"Radiology Cardiothoracic Imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Paul's Hospital","funders":"","keywords":"Medicine; Fractional flow reserve; Computed tomography; Guideline; Radiology; Coronary artery disease; Curriculum; Medical physics; Cardiology; Pathology; Myocardial infarction; Coronary angiography","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002823998,0.0006845549,0.003083842,0.0002966242,0.0003933493,0.00004908918,0.0002526095,0.0003338323,0.000005963335],"category_scores_gemma":[0.0009276203,0.0005802399,0.002574874,0.0008032342,0.001044799,0.0002816968,0.0002549696,0.000910596,7.779966e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001726421,"about_ca_system_score_gemma":0.0004268819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005992566,"about_ca_topic_score_gemma":0.000007045839,"domain_scores_codex":[0.9946923,0.001023845,0.001365745,0.001458361,0.0005753939,0.0008843102],"domain_scores_gemma":[0.9962234,0.00163374,0.0004355226,0.0008000676,0.0005256901,0.0003815098],"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":[0.005416501,0.0004089812,0.2466987,0.001715316,0.1192502,0.002481225,0.04740866,0.2478884,0.01079969,0.0004120352,0.06511192,0.2524084],"study_design_scores_gemma":[0.06781401,0.002705023,0.3777721,0.001548067,0.02808258,0.01531502,0.06186096,0.0932048,0.001791858,0.001272675,0.3440397,0.004593204],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2721759,0.1652769,0.5323074,0.02213505,0.001442753,0.004570567,0.001501944,0.0003447318,0.0002447835],"genre_scores_gemma":[0.938603,0.002696604,0.05215571,0.004045387,0.001017717,0.000238839,0.001141591,0.00009716753,0.000003946765],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6664271,"threshold_uncertainty_score":0.9996649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03172756512117032,"score_gpt":0.2968024867613662,"score_spread":0.2650749216401959,"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."}}