{"id":"W2599639234","doi":"10.1161/circimaging.117.006187","title":"Coronary Artery Plaque Burden Nomograms","year":2017,"lang":"en","type":"letter","venue":"Circulation Cardiovascular Imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Cardiology; Internal medicine; Nomogram; Coronary artery disease; Fractional flow reserve; Artery; Vulnerable plaque; Coronary angiography; Myocardial infarction","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003410064,0.00206219,0.001388022,0.01277473,0.0009172191,0.003940753,0.0009465975,0.001170761,0.01841352],"category_scores_gemma":[0.007667406,0.0007530564,0.002095401,0.004855014,0.0003749981,0.001339346,0.001311568,0.001518826,0.01210914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008490996,"about_ca_system_score_gemma":0.0009650141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002429158,"about_ca_topic_score_gemma":0.004872303,"domain_scores_codex":[0.9986464,0.0003273917,0.0001766044,0.0001809864,0.0005487635,0.0001198507],"domain_scores_gemma":[0.99685,0.0006545894,0.0005658123,0.0004365632,0.001234986,0.0002580438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001909276,0.0002005414,0.2156797,0.001471347,0.00125226,0.001210789,0.0003776039,0.00552429,0.002074978,0.00606087,0.2895324,0.474706],"study_design_scores_gemma":[0.001148387,0.0005105123,0.5149201,0.003193772,0.00294314,0.01106411,0.0009657509,0.04642407,0.00481619,0.0224479,0.391115,0.0004510534],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.2232962,0.09866615,0.1875762,0.009633822,0.003758547,0.004857149,0.08728759,0.01119345,0.373731],"genre_scores_gemma":[0.6665905,0.04804838,0.1417111,0.002069331,0.004728414,0.003385924,0.08570029,0.00164019,0.04612599],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.01841352,"threshold_uncertainty_score":0.06159931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01893103957060768,"score_gpt":0.2510423258826515,"score_spread":0.2321112863120438,"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."}}