{"id":"W2789692543","doi":"10.1111/ajt.14714","title":"Prescription opioid use before and after kidney transplant: Implications for posttransplant outcomes","year":2018,"lang":"en","type":"article","venue":"American Journal of Transplantation","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Health Resources and Services Administration; National Institutes of Health; Minneapolis Medical Research Foundation; U.S. Department of Health and Human Services","keywords":"Medicine; Dialysis; Medical prescription; Opioid; Population; Hazard ratio; Kidney transplantation; Internal medicine; Medical record; Intensive care medicine; Transplantation; Environmental health; Confidence interval; Pharmacology","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":[0.003425972,0.0001752208,0.0003055597,0.001130161,0.0004162637,0.001672267,0.0004389495,0.0004383806,0.002257206],"category_scores_gemma":[0.0121755,0.0001574002,0.0006914002,0.001823632,0.0005085524,0.001317891,0.0009427525,0.001316734,0.0001974983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006712273,"about_ca_system_score_gemma":0.001132971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008847267,"about_ca_topic_score_gemma":0.01759417,"domain_scores_codex":[0.9977649,0.0007885622,0.0003223245,0.0004028093,0.0004194969,0.0003017949],"domain_scores_gemma":[0.9867007,0.004840127,0.006061421,0.0006091336,0.0008792009,0.0009093679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003848632,0.00002826468,0.994159,0.00002082779,0.00005694808,0.00003700851,0.0000769266,0.00005856309,0.00003213893,0.00009130538,0.0001739135,0.005226804],"study_design_scores_gemma":[0.000001534927,0.00002396825,0.9987993,0.00003640758,0.00003047461,0.00009291781,0.0002391956,0.000219763,0.00003369461,0.00014771,0.0003706881,0.000004326145],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830319,0.007166093,0.0006906239,0.00471182,0.0000991827,0.00001981181,0.001535919,0.00001249203,0.002732223],"genre_scores_gemma":[0.9972993,0.001437266,0.0001680505,0.0004055396,0.0001142778,0.000007273798,0.0004036947,0.000004284691,0.0001604152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008847267,"threshold_uncertainty_score":0.0181185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01253790229739303,"score_gpt":0.2865388410239819,"score_spread":0.2740009387265889,"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."}}