{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001765547,0.0001217472,0.0003818412,0.0001033987,0.0000203324,0.000004967546,0.00005260152,0.0000849749,0.0003239595],"category_scores_gemma":[0.0002196191,0.0001021181,0.0001040522,0.000114726,0.0001566314,0.00005737244,0.00004544735,0.0001072557,0.000035979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001225388,"about_ca_system_score_gemma":0.00003787149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008470573,"about_ca_topic_score_gemma":0.00001990976,"domain_scores_codex":[0.9990774,0.00003396945,0.0003445677,0.0002321823,0.0001399694,0.0001719482],"domain_scores_gemma":[0.9992864,0.00000442155,0.0000918739,0.0003924171,0.00009827888,0.0001265926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002266163,0.0002229409,0.9264839,0.0002613985,0.000100226,0.00002102582,0.00003563525,3.390731e-7,0.06765112,0.001464745,0.002132028,0.001603997],"study_design_scores_gemma":[0.0005923784,0.000423586,0.9950687,0.0001207165,0.00007687059,0.0000428222,0.00001025133,0.0005204476,0.00156692,0.0004796011,0.001008138,0.00008951208],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903176,0.0002559317,0.002540838,0.00110494,0.0001066094,0.0002117437,0.00001859339,0.00004251145,0.005401165],"genre_scores_gemma":[0.9974299,0.00004915623,0.0005236961,0.001256666,0.0001256514,0.00004834991,0.00006290232,0.00001545874,0.0004882395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06858487,"threshold_uncertainty_score":0.4164253,"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."}}