{"id":"W4251707264","doi":"10.1016/j.jcmg.2020.09.004","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":"JACC. Cardiovascular imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Paul's Hospital","funders":"National Institutes of Health; GE Healthcare; British Heart Foundation; Radiological Society of North America; Cancer Prevention and Research Institute of Texas; Pfizer; Medtronic; Abbott Laboratories","keywords":"Medicine; Guideline; Computed tomography; Coronary artery disease; Curriculum; Radiology; Fractional flow reserve; Medical physics; Medical education; Cardiology; Pathology; Psychology; 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":[0.003525492,0.0007886352,0.003329821,0.0003096262,0.0004340042,0.0001000662,0.0003010918,0.0002766544,0.00000696277],"category_scores_gemma":[0.0008966147,0.0006763712,0.006417937,0.001064629,0.0006471198,0.0004063508,0.000372167,0.0008724742,0.000001072544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001673253,"about_ca_system_score_gemma":0.0004058806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001532677,"about_ca_topic_score_gemma":0.00001337283,"domain_scores_codex":[0.9938792,0.0008191217,0.001465742,0.001671619,0.001247705,0.0009166173],"domain_scores_gemma":[0.9961659,0.0009889271,0.0003771629,0.001253364,0.0007567791,0.0004578669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002244967,0.0004541895,0.06718673,0.001742935,0.2371339,0.001835146,0.03071111,0.3585601,0.003247981,0.0002051843,0.03552751,0.2611502],"study_design_scores_gemma":[0.0711384,0.001119286,0.2195713,0.001541181,0.03881957,0.0040719,0.05009732,0.05870716,0.001554938,0.0006658278,0.5490918,0.003621309],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1568417,0.2814549,0.5400502,0.01260212,0.00115894,0.005907961,0.001349787,0.0003888481,0.0002454478],"genre_scores_gemma":[0.9398481,0.004151371,0.05040641,0.002837879,0.00105655,0.0003329711,0.00122419,0.0001390353,0.000003455479],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7830064,"threshold_uncertainty_score":0.9995688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03230650646586617,"score_gpt":0.2765998042556447,"score_spread":0.2442932977897785,"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."}}