{"id":"W2595208123","doi":"10.1093/ehjci/jew287","title":"Coronary revascularization vs. medical therapy following coronary-computed tomographic angiography in patients with low-, intermediate- and high-risk coronary artery disease: results from the CONFIRM long-term registry","year":2017,"lang":"en","type":"article","venue":"European Heart Journal - Cardiovascular Imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; University of British Columbia","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Medicine; Computed tomographic angiography; Revascularization; Coronary artery disease; Cardiology; Internal medicine; Computed tomographic; Coronary angiography; Radiology; Medical therapy; Disease; Angiography; Myocardial infarction; Computed tomography","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":[0.002750787,0.0004957326,0.0008992146,0.0002874976,0.000960561,0.0005934177,0.000502153,0.00007794589,0.00001314967],"category_scores_gemma":[0.001311931,0.0003637302,0.001834338,0.0002437537,0.0006156161,0.0005080101,0.0002815231,0.001259216,0.000009839815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007277707,"about_ca_system_score_gemma":0.0001824492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001541048,"about_ca_topic_score_gemma":0.000007316797,"domain_scores_codex":[0.9948348,0.001295762,0.0007783537,0.0008117745,0.001687643,0.0005916076],"domain_scores_gemma":[0.9962364,0.0004408069,0.0004739042,0.001876347,0.0002718808,0.0007006506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001536892,0.0001879127,0.9461691,0.00002601087,0.002897458,0.01301637,0.0002149767,0.00006168543,0.000003463233,6.103871e-7,0.0007934485,0.03509206],"study_design_scores_gemma":[0.01814824,0.0001640897,0.9754373,0.002475681,0.00138664,0.001227358,0.00004258158,0.0001385486,0.000003393544,0.00001396696,0.0005433664,0.0004187948],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9690065,0.02638488,0.0011984,0.001260392,0.001186323,0.0007100886,0.0000971483,0.00009249797,0.00006381159],"genre_scores_gemma":[0.9938796,0.003280647,0.0002243982,0.001063294,0.0009622364,0.000007709188,0.0004469698,0.0001290553,0.000006066914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03467327,"threshold_uncertainty_score":0.9998814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008694053598230332,"score_gpt":0.2310857778448299,"score_spread":0.2223917242465996,"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."}}