{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006564659,0.0001107027,0.0002848122,0.00021623,0.00002738875,0.00001561163,0.00006218396,0.0001607973,0.00007115387],"category_scores_gemma":[0.0006051663,0.00009972676,0.00008334059,0.0002759251,0.000167076,0.0003594412,0.000003940714,0.0002188787,0.00001486596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003193321,"about_ca_system_score_gemma":0.0002041616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001481897,"about_ca_topic_score_gemma":0.0001514491,"domain_scores_codex":[0.9982277,0.000219401,0.000799649,0.0002434419,0.000372619,0.0001372175],"domain_scores_gemma":[0.9986922,0.0005471411,0.0001634627,0.0001575654,0.0001558682,0.0002837616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002039406,0.0003356563,0.9953153,0.0002351473,0.00004472024,0.000011821,0.002285489,0.00002562625,0.0002868699,0.0004320979,0.0001169614,0.0007064267],"study_design_scores_gemma":[0.001837979,0.0001518726,0.9937578,0.0004482699,0.0002512512,0.00001535286,0.0001949624,0.002746497,0.0002621107,0.0001943888,0.00004512063,0.00009436107],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861015,0.00003009367,0.01214116,0.0003508483,0.0002634765,0.0003662526,0.00003361057,0.00005958736,0.0006534598],"genre_scores_gemma":[0.9956048,0.0008311329,0.002738897,0.0002688357,0.00007354836,0.00001681915,0.0002796952,0.00001342209,0.0001728771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009503258,"threshold_uncertainty_score":0.4066739,"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."}}