{"id":"W4256714814","doi":"10.1016/j.jcct.2016.04.005","title":"CAD-RADSTM Coronary Artery Disease – Reporting and Data System. An expert consensus document of the Society of Cardiovascular Computed Tomography (SCCT), the American College of Radiology (ACR) and the North American Society for Cardiovascular Imaging (NASCI). Endorsed by the American College of Cardiology","year":2016,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":650,"is_retracted":false,"has_abstract":false,"ca_institutions":"Providence Health Care; Ottawa Hospital","funders":"","keywords":"Medicine; Coronary artery disease; CAD; Radiology; Chest pain; Quality assurance; Stenosis; Medical physics; Internal medicine; Cardiology; Pathology","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","metaepi_broad","sts"],"consensus_categories":[],"category_scores_codex":[0.00801798,0.0006824058,0.005547285,0.000299826,0.0004260001,0.00002474911,0.001173742,0.00008468378,2.709123e-7],"category_scores_gemma":[0.0005964429,0.0003415302,0.01747249,0.002072339,0.01069672,0.0001371529,0.0006497354,0.0005621091,3.691636e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001000548,"about_ca_system_score_gemma":0.0004897926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007348853,"about_ca_topic_score_gemma":0.000006286187,"domain_scores_codex":[0.9908838,0.002908366,0.002740118,0.0009303449,0.001827644,0.0007097854],"domain_scores_gemma":[0.9863892,0.003006791,0.004597746,0.004015183,0.001626967,0.0003641633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004760961,0.000438904,0.5162144,0.001826044,0.3858321,0.0006781814,0.001646735,0.01402422,0.001237129,0.000194345,0.03261128,0.04053571],"study_design_scores_gemma":[0.03154702,0.0019979,0.8002746,0.001790314,0.07260623,0.02159798,0.019314,0.009846617,0.0008496919,0.0001238822,0.03863497,0.001416804],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7988788,0.1603419,0.03297748,0.00178103,0.0005898112,0.002517185,0.002857873,0.0000461697,0.000009754061],"genre_scores_gemma":[0.9891241,0.00584897,0.004037525,0.000299475,0.0005081237,0.00005251767,0.00004540788,0.00008270748,0.000001192966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3132259,"threshold_uncertainty_score":0.9999037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01390131892943105,"score_gpt":0.2519832296955345,"score_spread":0.2380819107661035,"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."}}