{"id":"W2327507547","doi":"10.1097/brs.0000000000000232","title":"Body Mass Index as a Predictor of Complications and Mortality After Lumbar Spine Surgery","year":2014,"lang":"en","type":"article","venue":"Spine","topic":"Spine and Intervertebral Disc Pathology","field":"Medicine","cited_by":157,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Bank of Canada","funders":"","keywords":"Medicine; Perioperative; Body mass index; Overweight; Surgery; Pulmonary embolism; Cohort; Population; Deep vein; Relative risk; Lumbar; Obesity; Cohort study; Retrospective cohort study; Confidence interval; Internal medicine; Thrombosis","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":[0.00142962,0.0002318168,0.0003952,0.001410495,0.000303781,0.0005793554,0.0004378242,0.0003991147,0.0009989262],"category_scores_gemma":[0.003425148,0.0003398786,0.0005268255,0.00188614,0.0002396903,0.0005508631,0.0004762468,0.0004718881,0.0001738015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004261912,"about_ca_system_score_gemma":0.0005349613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002202321,"about_ca_topic_score_gemma":0.002436299,"domain_scores_codex":[0.9988695,0.0003350255,0.0001833309,0.0002263215,0.0002639112,0.0001219211],"domain_scores_gemma":[0.9968623,0.0006158184,0.001735576,0.0001955439,0.0003086514,0.0002821168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001099104,0.00001582752,0.9994643,0.000008991155,0.00003886496,0.00001928822,0.000006330213,0.00001384073,0.00002194891,0.000003582152,0.00004192957,0.0002551068],"study_design_scores_gemma":[0.00002675752,0.0001688149,0.9988936,0.00001235001,0.00006441288,0.0003325722,0.00005523046,0.0002561226,0.00003899818,0.00001107163,0.0001361451,0.000004022366],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979679,0.0005651546,0.0001670681,0.00003656391,0.000007923428,0.00004127034,0.0009294898,0.000004851918,0.0002797212],"genre_scores_gemma":[0.9986606,0.0001408388,0.0001629282,0.00003340226,0.00001631195,0.0000576024,0.0008768768,0.000001578832,0.00004987312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002202321,"threshold_uncertainty_score":0.007560611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02004615885704392,"score_gpt":0.3012204546095962,"score_spread":0.2811742957525523,"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."}}