{"id":"W3006933702","doi":"10.1016/j.soard.2020.02.008","title":"Impact of preoperative opioid use on health outcomes after bariatric surgery","year":2020,"lang":"en","type":"article","venue":"Surgery for Obesity and Related Diseases","topic":"Bariatric Surgery and Outcomes","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Joseph’s Healthcare Hamilton; Toronto Western Hospital; University Health Network; McMaster University; University of Toronto","funders":"","keywords":"Medicine; Odds ratio; Perioperative; Surgery; Body mass index; Sleeve gastrectomy; Confidence interval; Retrospective cohort study; Opioid; Obesity; Weight loss; Gastric bypass; Internal medicine","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":[0.0007739157,0.000202418,0.000398383,0.000512625,0.0005038118,0.001191469,0.0003736873,0.0006732657,0.002615202],"category_scores_gemma":[0.007329176,0.0002080895,0.001369635,0.0007306377,0.0004828018,0.000729177,0.0009698286,0.001736013,0.0001911034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008141106,"about_ca_system_score_gemma":0.001420888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01200493,"about_ca_topic_score_gemma":0.02330045,"domain_scores_codex":[0.9988393,0.0002700324,0.0001355529,0.00009332054,0.00020993,0.0004519687],"domain_scores_gemma":[0.9948996,0.00142229,0.00198182,0.0001943139,0.000396282,0.001105825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005922051,0.0002247778,0.9942592,0.00003713922,0.0002792391,0.00008543464,0.00006543808,0.0001162968,0.00009912549,0.00006559072,0.0001518229,0.0040236],"study_design_scores_gemma":[0.000006631039,0.0001440832,0.9992831,0.00001774323,0.00005583088,0.00003560003,0.0001776682,0.0001017691,0.0000265147,0.00004601611,0.00009922244,0.000005877224],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967019,0.0009455464,0.00004070174,0.0004485429,0.00004774312,0.000006495054,0.0003823473,0.000002553723,0.001424161],"genre_scores_gemma":[0.9989397,0.0003285535,0.00003486793,0.00008526223,0.00003656784,0.000003722588,0.0003567331,0.000001770619,0.0002129194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01200493,"threshold_uncertainty_score":0.02387011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02716025142901524,"score_gpt":0.2836596248043701,"score_spread":0.2564993733753549,"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."}}