{"id":"W2913306983","doi":"10.1161/circimaging.118.007940","title":"Predictive Model for High-Risk Coronary Artery Disease","year":2019,"lang":"en","type":"article","venue":"Circulation Cardiovascular Imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Heart Institute; University of British Columbia","funders":"National Heart, Lung, and Blood Institute","keywords":"Medicine; Coronary artery disease; Internal medicine; Cardiology; Stenosis; CAD; Chest pain; Odds ratio; Radiology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01061074,0.001694604,0.001501869,0.002621873,0.0004723328,0.001679797,0.002205241,0.001133307,0.004583966],"category_scores_gemma":[0.03163569,0.0004894664,0.00243989,0.001234564,0.0005753817,0.0008774081,0.001076872,0.002229082,0.001378283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001135625,"about_ca_system_score_gemma":0.001985317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008897236,"about_ca_topic_score_gemma":0.004225847,"domain_scores_codex":[0.9964958,0.001992811,0.0001693593,0.0005742963,0.0005089696,0.0002587208],"domain_scores_gemma":[0.9791315,0.01640372,0.001458917,0.0009401659,0.001711309,0.0003544595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002901275,0.0006808414,0.5522377,0.0003843074,0.00363888,0.0008530739,0.0002824288,0.3409572,0.0006471639,0.00394285,0.01022746,0.08324684],"study_design_scores_gemma":[0.0002746065,0.0003995885,0.04780061,0.0001653356,0.001384197,0.0007165489,0.00007191856,0.9373924,0.0003853514,0.009310368,0.002041622,0.00005749601],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7471871,0.004547703,0.2268723,0.004500733,0.0005568581,0.0008170572,0.007099514,0.002115171,0.006303633],"genre_scores_gemma":[0.9767827,0.0005340663,0.01780328,0.0003287944,0.0001513088,0.0003124712,0.002846259,0.00005482766,0.001186336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01061074,"threshold_uncertainty_score":0.05611557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01010762079073448,"score_gpt":0.2295630008375898,"score_spread":0.2194553800468553,"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."}}