{"id":"W2166510921","doi":"10.1111/add.12343","title":"Prescription opioid deaths: we need to treat sick populations, not just sick individuals","year":2014,"lang":"en","type":"article","venue":"Addiction","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Life expectancy; Prescription drug; Population; Medical prescription; Health care; Disadvantaged; Environmental health; Economic growth; Nursing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001469133,0.000239024,0.0002884225,0.0002772693,0.0001605231,0.00004341773,0.00007157816,0.0001418078,0.0002955673],"category_scores_gemma":[0.0001203424,0.0002195238,0.0001055555,0.0002974528,0.00002076078,0.0002004195,0.00003604355,0.0001322102,0.0008829277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002437963,"about_ca_system_score_gemma":0.00004659882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004834826,"about_ca_topic_score_gemma":0.00004254709,"domain_scores_codex":[0.9984954,0.00007876597,0.000345016,0.0003932125,0.0003928426,0.0002947746],"domain_scores_gemma":[0.9990804,0.00004135364,0.00009711723,0.0004671569,0.00009756633,0.0002164513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008950065,0.002837735,0.3486803,0.0003825377,0.0004737413,0.00001589568,0.01302308,0.0009296627,0.02726005,0.008539711,0.1933465,0.4036158],"study_design_scores_gemma":[0.003836858,0.001402681,0.8567736,0.0002814356,0.0009879628,0.00002011473,0.0006501594,0.0008556384,0.0084553,0.0005960456,0.1257894,0.0003508117],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838167,0.0003477844,0.002696856,0.005780363,0.0008809909,0.001318268,0.0000689502,0.0004310675,0.004658999],"genre_scores_gemma":[0.9919056,0.0001118896,0.00225313,0.0009061696,0.0005759448,0.000206327,0.0007746347,0.00004907919,0.003217282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5080933,"threshold_uncertainty_score":0.999895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03207329261597577,"score_gpt":0.2915416548218189,"score_spread":0.2594683622058431,"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."}}