{"id":"W3089413666","doi":"10.1136/thoraxjnl-2020-215346","title":"Morbidity and mortality associated with prescription cannabinoid drug use in COPD","year":2020,"lang":"en","type":"article","venue":"Thorax","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Women's College Hospital; Queen's University; Sunnybrook Health Science Centre; Institute for Clinical Evaluative Sciences; University of Toronto; St. Michael's Hospital","funders":"Canadian Institutes of Health Research; University of Toronto; Ontario Ministry of Health and Long-Term Care; Cancer Care Ontario; Heart and Stroke Foundation of Canada","keywords":"Medicine; COPD; Hazard ratio; Dronabinol; Internal medicine; Proportional hazards model; Population; Medical prescription; Cannabinoid; Retrospective cohort study; Cannabis; Cohort study; Propensity score matching; Pneumonia; Cohort; Confidence interval; Pharmacology; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003393181,0.0001337111,0.000282738,0.00005837315,0.00004860731,0.00005277537,0.00005879551,0.00007538121,0.00008842106],"category_scores_gemma":[0.0003440233,0.000107029,0.00003445137,0.0003591364,0.0001235157,0.0001588397,0.00005858617,0.0003644288,0.000006721229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001130922,"about_ca_system_score_gemma":0.00017573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003349106,"about_ca_topic_score_gemma":0.003706172,"domain_scores_codex":[0.9986931,0.0001178707,0.0001846641,0.0003160008,0.0003969326,0.0002913985],"domain_scores_gemma":[0.9992929,0.000009271889,0.00004920636,0.0001934001,0.0001317482,0.0003234674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005412354,0.0001878848,0.886398,0.0001569586,0.00005813996,0.0002453912,0.001178249,0.00001780881,0.005962139,0.00009463284,0.1045323,0.0006272404],"study_design_scores_gemma":[0.001411233,0.0002286219,0.9895139,0.00006736517,0.00004861407,0.00000815187,0.0001842082,0.001103185,0.001509262,0.00002293283,0.005771703,0.0001308576],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988477,0.0001791209,0.00001340587,0.009987324,0.00003109474,0.0005100032,0.00003670633,0.00006406341,0.0007012747],"genre_scores_gemma":[0.992976,0.00003055268,0.00002880494,0.0008623064,0.00007449299,0.00003604193,0.00005087366,0.0000213326,0.005919562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1031159,"threshold_uncertainty_score":0.5062869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05239583086757315,"score_gpt":0.3105483500343561,"score_spread":0.2581525191667829,"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."}}