{"id":"W2414198479","doi":"10.1503/cjs.011614","title":"Perioperative factors predicting poor outcome in elderly patients following emergency general surgery: a multivariate regression analysis","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Surgery","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Perioperative; Confidence interval; Odds ratio; Logistic regression; Retrospective cohort study; Population; American society of anesthesiologists; Multivariate analysis; Emergency medicine; Internal medicine; Surgery","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001854133,0.0002717544,0.001909247,0.00193847,0.0001122117,0.00004481115,0.0000902175,0.0001612234,0.0001461178],"category_scores_gemma":[0.003973474,0.0001973758,0.002046129,0.001217961,0.00003702385,0.0003211403,0.00001042034,0.0003725328,0.000003344699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004492152,"about_ca_system_score_gemma":0.001633,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01102821,"about_ca_topic_score_gemma":0.004598888,"domain_scores_codex":[0.9969261,0.0003476988,0.00136249,0.000232216,0.0005766714,0.0005548354],"domain_scores_gemma":[0.996617,0.0007242239,0.0004404322,0.0001874704,0.0003978883,0.001632966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008377625,0.00003915511,0.9941543,0.00001336617,0.0006229939,0.002006257,0.001350701,0.00007520739,0.00001418433,0.000006033531,0.0005205654,0.001113516],"study_design_scores_gemma":[0.0007030113,0.0000527605,0.9938014,0.0001518915,0.000552484,0.00003627337,0.0008596055,0.0001153081,0.00002349867,0.000002450455,0.003492397,0.0002089364],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966429,0.0005518539,0.00002424039,0.0005788529,0.001666605,0.0001299568,0.00001346523,0.000009537429,0.0003826216],"genre_scores_gemma":[0.9988467,0.00002241582,0.00009671003,0.0001355489,0.0002025868,0.000002944203,0.00004403143,0.00002933842,0.0006197714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006429322,"threshold_uncertainty_score":0.9955574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07155941455000871,"score_gpt":0.3062762321523699,"score_spread":0.2347168176023612,"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."}}