{"id":"W2171900259","doi":"10.1001/archinternmed.2011.74","title":"Ontario Multidetector Computed Tomographic Coronary Angiography Study","year":2011,"lang":"en","type":"article","venue":"Archives of Internal Medicine","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Computed tomographic angiography; Diagnostic accuracy; Radiology; Coronary artery disease; Receiver operating characteristic; Confidence interval; Predictive value; Computed tomographic; Coronary angiography; Positive predicative value; Nuclear medicine; Internal medicine; Cardiology; Angiography; Computed tomography; Myocardial infarction","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001436995,0.0001965831,0.0005454263,0.0006693459,0.00003053478,0.000002701052,0.0001729466,0.0000281914,0.0003193378],"category_scores_gemma":[0.0001802502,0.0001474732,0.0003641484,0.0002328486,0.0004664518,0.00003500667,0.00009213056,0.0002947755,0.000007498736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001404646,"about_ca_system_score_gemma":0.0000470243,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03530102,"about_ca_topic_score_gemma":0.002366673,"domain_scores_codex":[0.9986699,0.00005837436,0.0004565182,0.0002671226,0.0003233619,0.0002247413],"domain_scores_gemma":[0.9987653,0.0003970585,0.0001398776,0.0003865009,0.00008288847,0.000228332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009919924,0.0007999835,0.9712843,0.00003715538,0.0006938888,0.0004309699,0.0129919,4.211404e-7,0.001210543,0.00002179636,0.0003698632,0.01116716],"study_design_scores_gemma":[0.004267793,0.004088765,0.9876997,0.0008961665,0.0004895063,0.0001959094,0.001062795,0.00004133273,0.000622384,0.0002174254,0.0002984179,0.0001198137],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9757991,0.001277164,0.001524226,0.00009876851,0.0005494553,0.0004550572,0.000006346384,0.00006417351,0.02022574],"genre_scores_gemma":[0.9966879,0.00001675867,0.002533506,0.000325781,0.0001736657,0.00001200102,0.000009444735,0.00001989284,0.0002210038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03293435,"threshold_uncertainty_score":0.971123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02209958149981094,"score_gpt":0.2598090850601654,"score_spread":0.2377095035603544,"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."}}