{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004580572,0.0003149816,0.0003690142,0.0006584247,0.001359629,0.0005625823,0.0008573438,0.0004491855,0.003838315],"category_scores_gemma":[0.001496442,0.0002388667,0.0002949208,0.001646696,0.0004454861,0.0002898039,0.0005929851,0.0004300288,0.0006039013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006039456,"about_ca_system_score_gemma":0.007850287,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6317444,"about_ca_topic_score_gemma":0.7559353,"domain_scores_codex":[0.9992654,0.00006410355,0.00004897826,0.0001221866,0.0003693632,0.0001300367],"domain_scores_gemma":[0.9985552,0.00006619189,0.0003999763,0.00008706131,0.0005739332,0.0003176229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001697525,0.00003856458,0.9928762,0.0000656812,0.00005049013,0.0002200167,0.0001214993,0.00005169688,0.0001961527,0.0001397598,0.003494982,0.002575215],"study_design_scores_gemma":[0.00005981018,0.00002653514,0.9968389,0.00002800153,0.00003334358,0.0002173667,0.00006295898,0.0001087528,0.00002816302,0.00005156973,0.002538289,0.000006213058],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9406698,0.003237956,0.0005517903,0.002044589,0.00008755504,0.0005029218,0.02126221,0.00004641998,0.03159672],"genre_scores_gemma":[0.9921128,0.0007072901,0.0004813664,0.0003015093,0.00004675551,0.0001368212,0.004563894,0.000006486406,0.001643186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6317444,"threshold_uncertainty_score":0.7408487,"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."}}