{"id":"W2746719527","doi":"10.1016/j.jvs.2017.05.123","title":"Association between operator specialty and outcomes after carotid artery revascularization","year":2017,"lang":"en","type":"article","venue":"Journal of Vascular Surgery","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; Institute for Clinical Evaluative Sciences; University of Toronto; St. Michael's Hospital","funders":"Eisai; University of Toronto; Ontario Ministry of Health and Long-Term Care; Medicines Company; Amarin Corporation; Ironwood Pharmaceuticals, Incorporated; Institute for Clinical Evaluative Sciences; Sanofi; Amgen; Pfizer; AstraZeneca; Eli Lilly and Company; Bristol-Myers Squibb","keywords":"Medicine; Carotid endarterectomy; Carotid stenting; Endarterectomy; Stroke (engine); Odds ratio; Specialty; Population; Confidence interval; Surgery; Revascularization; Internal medicine; Cardiology; Radiology; Stenosis; Myocardial infarction","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0006812019,0.0001901124,0.0001850863,0.0006364636,0.0003091063,0.000497395,0.0004028253,0.0003865606,0.0016164],"category_scores_gemma":[0.005418053,0.0001543211,0.0003035977,0.000732578,0.0002978383,0.0003535119,0.0003922535,0.000521875,0.0001267864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007106842,"about_ca_system_score_gemma":0.0009803267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01954788,"about_ca_topic_score_gemma":0.03259963,"domain_scores_codex":[0.9992775,0.0001320856,0.00006537877,0.0001495262,0.000197845,0.0001776039],"domain_scores_gemma":[0.9943668,0.0009003153,0.003342591,0.0001661532,0.000531963,0.0006919936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000293155,0.00001340576,0.999445,0.000003188,0.00001940319,0.0000239602,0.00001568478,0.00002450516,0.00003368361,0.000006691981,0.00006178524,0.0003232308],"study_design_scores_gemma":[0.000003227395,0.00003177652,0.9995117,0.000003513204,0.00001102784,0.0001167838,0.00005455623,0.0001732141,0.00001585707,0.00001414112,0.00006218988,0.000001985706],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988598,0.0001852001,0.00007091633,0.0001075998,0.000007298894,0.000004265502,0.0003345335,0.000002734466,0.0004276684],"genre_scores_gemma":[0.9993887,0.00006659953,0.00004411921,0.00002989238,0.0000216046,0.000003127469,0.0003674068,0.000001237563,0.00007726713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01954788,"threshold_uncertainty_score":0.03886819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01292228511549826,"score_gpt":0.2535355885857062,"score_spread":0.240613303470208,"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."}}