{"id":"W2219626268","doi":"10.1016/j.jvs.2015.08.036","title":"Efficacy of a Risk Reduction Program to Improve Cardiovascular Outcomes in Patients With Peripheral Arterial Disease: A Propensity Score-Matched Study","year":2015,"lang":"en","type":"article","venue":"Journal of Vascular Surgery","topic":"Peripheral Artery Disease Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network; Institute for Clinical Evaluative Sciences; University of Toronto; St. Michael's Hospital","funders":"","keywords":"Medicine; Hazard ratio; Propensity score matching; Internal medicine; Confidence interval; Amputation; Revascularization; Myocardial infarction; Critical limb ischemia; Stroke (engine); Proportional hazards model; Cohort; Rate ratio; Guideline; Surgery; Cardiology","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":[0.0019192,0.0007732711,0.001375991,0.0004615159,0.0007208023,0.0009850172,0.0006582933,0.001237752,0.001214916],"category_scores_gemma":[0.004260939,0.0005112262,0.002593691,0.000846398,0.0007141546,0.001033367,0.0007483795,0.001411497,0.0002446248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007687547,"about_ca_system_score_gemma":0.001248357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001334102,"about_ca_topic_score_gemma":0.001158503,"domain_scores_codex":[0.9977095,0.001039232,0.0002666578,0.0004527326,0.0002735986,0.0002582523],"domain_scores_gemma":[0.9981138,0.0004541648,0.0005773364,0.0003609617,0.000126042,0.0003677595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.5604168,0.05125656,0.2952128,0.0004692693,0.01262442,0.0002296709,0.000293709,0.002433869,0.003838909,0.0005374267,0.001108962,0.07157763],"study_design_scores_gemma":[0.1954504,0.2283613,0.5478209,0.0001215173,0.01341077,0.000263457,0.0003647194,0.009430331,0.001916638,0.001197009,0.001508728,0.0001542065],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986518,0.0003412933,0.0003434054,0.00009865389,0.00005954356,0.0001558504,0.00005518061,0.000009803951,0.0002844671],"genre_scores_gemma":[0.9988776,0.0001796635,0.000325965,0.000150089,0.00009684037,0.0001049586,0.0001569958,0.00000258154,0.0001053923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0019192,"threshold_uncertainty_score":0.01014978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02436734522107998,"score_gpt":0.2556901069953688,"score_spread":0.2313227617742888,"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."}}