{"id":"W4221015074","doi":"10.1186/s12913-022-07614-1","title":"Accurate classification of carotid endarterectomy indication using physician claims and hospital discharge data","year":2022,"lang":"en","type":"article","venue":"BMC Health Services Research","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Advancing Health Outcomes; Sunnybrook Health Science Centre; Health Sciences Centre; University of British Columbia","funders":"","keywords":"Medicine; Medical diagnosis; Logistic regression; Retrospective cohort study; Emergency medicine; Hospital discharge; Internal medicine; Radiology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.01617,0.0006507012,0.0008168209,0.002491237,0.0004945481,0.002197889,0.0009238978,0.0008590168,0.0008046807],"category_scores_gemma":[0.06235866,0.0003761807,0.0007266624,0.001648605,0.0004751174,0.00122283,0.001012745,0.0008306183,0.0004779406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001177498,"about_ca_system_score_gemma":0.001848916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02311346,"about_ca_topic_score_gemma":0.02731058,"domain_scores_codex":[0.9921871,0.003469226,0.0008076846,0.001179149,0.001866191,0.0004905458],"domain_scores_gemma":[0.9629505,0.02116888,0.006446079,0.002718969,0.006163599,0.0005520495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001881526,0.00007487176,0.9797528,0.00005671757,0.0001506907,0.00004309676,0.0001185609,0.005386815,0.0001832555,0.00009153321,0.0005427874,0.01341086],"study_design_scores_gemma":[0.00006885786,0.0002866143,0.8139232,0.0002689626,0.0002517289,0.0004404434,0.0005391781,0.1802738,0.001073932,0.001508097,0.0013185,0.00004673334],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9809358,0.0005310028,0.01408686,0.000574761,0.00004281477,0.0001254538,0.002078706,0.0001241433,0.001500385],"genre_scores_gemma":[0.9934864,0.0000966002,0.004730759,0.00005550579,0.00001920552,0.0000153004,0.001480612,0.000007508727,0.0001081559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02311346,"threshold_uncertainty_score":0.08551615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09681043778320139,"score_gpt":0.4239778823952327,"score_spread":0.3271674446120313,"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."}}