{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001101765,0.0001848111,0.000376677,0.0002081112,0.0000882314,0.00003247946,0.00006346885,0.00004659804,0.00001414132],"category_scores_gemma":[0.00001857837,0.0001426558,0.0001621731,0.0001316619,0.0002036851,0.0003221719,0.000001798814,0.000102337,0.000002528892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000438924,"about_ca_system_score_gemma":0.0001253012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007888082,"about_ca_topic_score_gemma":0.00005640796,"domain_scores_codex":[0.9989347,0.00003548542,0.0004587749,0.0001862046,0.0001734792,0.0002113989],"domain_scores_gemma":[0.9990081,0.00008809234,0.0002326098,0.0001459714,0.0002741391,0.0002511151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003922511,0.0002694164,0.9667743,0.0002877985,0.0003894831,0.00002918955,0.008798869,0.000001226524,0.005702877,0.0001994039,0.00008605592,0.01353883],"study_design_scores_gemma":[0.002837325,0.003462001,0.9884741,0.000341748,0.001402199,0.0006925991,0.0001495782,0.00002404709,0.001772495,0.0002186164,0.0005041148,0.0001211205],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9748638,0.00007033518,0.01967437,0.00390519,0.00015686,0.0005132785,0.0007704224,0.00002254704,0.00002323456],"genre_scores_gemma":[0.9868556,0.0009834905,0.01052319,0.001190549,0.0001186731,0.00004706689,0.0002224028,0.00002928733,0.00002972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02169982,"threshold_uncertainty_score":0.5817334,"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."}}