{"id":"W2999762286","doi":"10.1007/s11695-020-04395-6","title":"Sex and Race Predict Adverse Outcomes Following Bariatric Surgery: an MBSAQIP Analysis","year":2020,"lang":"en","type":"article","venue":"Obesity Surgery","topic":"Bariatric Surgery and Outcomes","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Alexandra Hospital; University of Alberta","funders":"","keywords":"Medicine; Body mass index; Univariate analysis; Logistic regression; Sleeve gastrectomy; African american; Gastric bypass; Surgery; Continuous variable; Internal medicine; Adverse effect; Obesity; Weight loss; Multivariate analysis","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":[0.001543942,0.0006666016,0.0005995159,0.001023878,0.0007376348,0.001144171,0.0008629168,0.0007339386,0.00444501],"category_scores_gemma":[0.003211268,0.0005655583,0.003406771,0.00125068,0.00038047,0.0009319604,0.001660387,0.001568824,0.0004939968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000410131,"about_ca_system_score_gemma":0.001001072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0129097,"about_ca_topic_score_gemma":0.01787826,"domain_scores_codex":[0.9989172,0.0002865205,0.0001060204,0.0001952583,0.0001411881,0.0003537688],"domain_scores_gemma":[0.9979303,0.000444952,0.0006957874,0.0002563238,0.0002171791,0.000455391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002619032,0.00006203974,0.9979614,0.000008350449,0.0004353303,0.00003040178,0.00004483889,0.00003217011,0.000081693,0.00002407815,0.0001471966,0.0009106945],"study_design_scores_gemma":[0.00002519293,0.0002033397,0.997749,0.00001168898,0.0006432917,0.00009809966,0.0003875823,0.0004648285,0.00005339312,0.00006675375,0.0002880633,0.000008694726],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981222,0.0002242408,0.0002118787,0.0001199003,0.00002666497,0.00001101416,0.0007270341,0.00000447294,0.0005526299],"genre_scores_gemma":[0.9983252,0.0001153928,0.0001491383,0.00006770199,0.00005135458,0.00002008889,0.000698833,0.000006080211,0.0005662456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0129097,"threshold_uncertainty_score":0.02566916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02609348538998953,"score_gpt":0.2548889269366892,"score_spread":0.2287954415466996,"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."}}