{"id":"W2792632084","doi":"10.1016/j.jpainsymman.2018.03.010","title":"Comparison of Opioid Prescribing Among Cancer and Noncancer Patients Aged 18–64: Analysis Using Administrative Data","year":2018,"lang":"en","type":"article","venue":"Journal of Pain and Symptom Management","topic":"Cancer, Stress, Anesthesia, and Immune Response","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University Health Network; Princess Margaret Cancer Centre; Queen's University; McMaster University; Institute for Clinical Evaluative Sciences; Sunnybrook Health Science Centre; Mount Sinai Hospital; Health Sciences Centre","funders":"Government of Ontario; Institute for Clinical Evaluative Sciences; Ontario Ministry of Health and Long-Term Care; Ontario Institute for Cancer Research","keywords":"Medicine; Cancer; Medical prescription; Opioid; Cancer pain; Internal medicine; Pharmacology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009059481,0.0001451018,0.0005976022,0.0003076146,0.0001017041,0.00004270698,0.0001506307,0.00004384852,0.00007841337],"category_scores_gemma":[0.00006406828,0.0001165708,0.00008941592,0.0002738874,0.0002184076,0.0001861911,0.0001161248,0.0001264748,1.568661e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008134807,"about_ca_system_score_gemma":0.00007042054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001943876,"about_ca_topic_score_gemma":0.0001576079,"domain_scores_codex":[0.9984995,0.0001616584,0.0005894501,0.0002096014,0.0003690589,0.000170725],"domain_scores_gemma":[0.998701,0.00009403744,0.0006043029,0.0002991583,0.0001854368,0.0001160757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001053341,0.0002308734,0.9596091,0.0003075393,0.002263147,0.00001994595,0.002695812,0.00003486166,0.0002225445,0.00000600716,0.002161353,0.03139548],"study_design_scores_gemma":[0.002090987,0.0009341393,0.9739583,0.0008779799,0.002800365,0.000005122061,0.003126194,0.01145579,0.0003303614,0.000005561216,0.004273282,0.0001419116],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955858,0.002615677,0.00106269,0.00007319829,0.0001289433,0.0002420658,0.00001649913,0.000003973808,0.0002711441],"genre_scores_gemma":[0.9973313,0.001216533,0.0008907357,0.0001017114,0.0002375456,0.000002570448,0.00001125972,0.0000108519,0.0001974946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03125356,"threshold_uncertainty_score":0.475362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08192605973435475,"score_gpt":0.3837879448623521,"score_spread":0.3018618851279973,"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."}}