{"id":"W103115216","doi":"","title":"Does screening for peripheral arterial disease improve risk stratification for patients at intermediate risk for coronary artery disease?","year":2007,"lang":"en","type":"article","venue":"PubMed","topic":"Peripheral Artery Disease Management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Internal medicine; Coronary artery disease; Framingham Risk Score; Dyslipidemia; Family history; Myocardial infarction; Diabetes mellitus; Disease; Cardiology; Endocrinology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005554438,0.0003514101,0.0003561027,0.0001135221,0.0003629283,0.00008891023,0.000171939,0.00007122586,0.00003802502],"category_scores_gemma":[0.0006001858,0.0002599692,0.0004337115,0.00007047189,0.0001090755,0.0002904279,0.00007780555,0.00009026675,0.000003312566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003427138,"about_ca_system_score_gemma":0.00005099383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005460421,"about_ca_topic_score_gemma":0.00004390243,"domain_scores_codex":[0.997341,0.00004633376,0.0006322653,0.0007592455,0.0003297958,0.0008913962],"domain_scores_gemma":[0.9976483,0.0002278953,0.0003887027,0.0005121083,0.0002287133,0.0009943037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.04886419,0.001031827,0.3772234,0.0006529685,0.0004105949,0.00001028448,0.0001524319,0.00001717418,0.0001065108,0.00004314062,0.003467634,0.5680198],"study_design_scores_gemma":[0.009804031,0.0003505958,0.9734626,0.00003232246,0.001069563,2.49383e-7,0.00007422794,0.005046143,0.00007449284,0.0009978656,0.008731926,0.0003559436],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9367905,0.00005056065,0.04076419,0.0004811887,0.001780898,0.01465337,0.005300309,0.0001518935,0.00002713862],"genre_scores_gemma":[0.9706094,0.00002055334,0.001816006,0.0004650698,0.001483938,0.02113468,0.003228655,0.00008345293,0.001158201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5962392,"threshold_uncertainty_score":0.9999853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01468107234445549,"score_gpt":0.2437609287718277,"score_spread":0.2290798564273722,"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."}}