{"id":"W2108549168","doi":"10.1111/ctr.12599","title":"Gender differences in use of prescription narcotic medications among living kidney donors","year":2015,"lang":"en","type":"article","venue":"Clinical Transplantation","topic":"Organ Donation and Transplantation","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; University of Alberta","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Health Resources and Services Administration; National Institutes of Health","keywords":"Medicine; Medical prescription; Narcotic; Pharmacy; Hazard ratio; Confidence interval; Population; Donation; Demography; Internal medicine; Surgery; Environmental health; Family medicine; 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":[0.0006697004,0.00009715542,0.0002148699,0.0004375763,0.0001716471,0.0003740733,0.0001486494,0.0001477549,0.002294601],"category_scores_gemma":[0.002607175,0.0001093099,0.0003030445,0.0005029785,0.0001811068,0.000372185,0.0002435796,0.0001950196,0.0002309738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000269341,"about_ca_system_score_gemma":0.000248925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00393211,"about_ca_topic_score_gemma":0.005647561,"domain_scores_codex":[0.9996232,0.00007850202,0.00004711377,0.00008994312,0.00006461546,0.00009674441],"domain_scores_gemma":[0.9988319,0.0002725764,0.0006057623,0.00006252288,0.00007687022,0.0001503902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009400469,0.00001645653,0.99696,0.00001304529,0.00002737204,0.00005941548,0.0001093218,0.00001725898,0.0001670696,0.0000429405,0.00009562475,0.00239742],"study_design_scores_gemma":[0.000002987082,0.00004868147,0.9990553,0.0000107941,0.00001607281,0.0002342212,0.0001857646,0.00006340686,0.00007378116,0.00005408631,0.0002513982,0.00000333656],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977087,0.0007367021,0.000093518,0.0000530509,0.00000785129,0.000004159554,0.0006793864,0.000003069348,0.0007136675],"genre_scores_gemma":[0.9992489,0.0001931194,0.00003813932,0.0000303118,0.000006228495,0.000003203459,0.0002468781,0.000001495609,0.0002316895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00393211,"threshold_uncertainty_score":0.00781846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1975371382984989,"score_gpt":0.370698917113896,"score_spread":0.173161778815397,"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."}}