{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001547023,0.0001896868,0.0008741,0.0002123057,0.0002138251,0.0002176379,0.0001066032,0.0001340754,0.0001302444],"category_scores_gemma":[0.001433049,0.0001507719,0.001165928,0.00005991745,0.00005303694,0.0005461563,0.00005509816,0.0002331529,0.00001469234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001323618,"about_ca_system_score_gemma":0.0001937794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001395963,"about_ca_topic_score_gemma":0.00001092739,"domain_scores_codex":[0.9979692,0.0001485754,0.000625536,0.0001911526,0.0008272722,0.0002382353],"domain_scores_gemma":[0.9979526,0.0001637055,0.0006266565,0.0005362309,0.0004283451,0.0002924795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002401948,0.00007881378,0.9946604,0.0000856714,0.001750257,0.00004201053,0.00005851316,9.567738e-7,0.00006796351,0.000002865281,0.001069413,0.00215913],"study_design_scores_gemma":[0.001163714,0.00003857184,0.9929694,0.0002308414,0.001472832,0.00007671106,0.00003511598,0.000002391329,0.0003196397,0.00002470208,0.003510726,0.0001553488],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970683,0.0006704381,0.0002233647,0.001068295,0.0005912635,0.0002053197,0.0000110447,0.00001344823,0.0001485523],"genre_scores_gemma":[0.9970508,0.00100212,0.0001300805,0.000290078,0.001286453,0.00000632384,0.00001325426,0.00002883034,0.0001920673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002441313,"threshold_uncertainty_score":0.61483,"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."}}