{"id":"W1972579810","doi":"10.1016/j.drugalcdep.2009.08.006","title":"Risk management and post-marketing surveillance for the abuse of medications acting on the central nervous system: Expert Panel Report","year":2009,"lang":"en","type":"article","venue":"Drug and Alcohol Dependence","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Institute on Drug Abuse","keywords":"Government (linguistics); Risk management; Public health; Business; Substance abuse; Public relations; Medicine; Risk assessment; Environmental health; Psychiatry; Political science; Computer security; Finance; Nursing; Computer science","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":[0.0008775647,0.0001288691,0.0001790877,0.00003121965,0.0002881919,0.00002458585,0.0001019778,0.00002870899,0.000002497319],"category_scores_gemma":[0.0002180812,0.00006979921,0.00005161167,0.00007997776,0.0000575067,0.00002841702,0.0000224975,0.0001038269,7.67256e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003022736,"about_ca_system_score_gemma":0.00002355752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00027599,"about_ca_topic_score_gemma":0.00002079667,"domain_scores_codex":[0.9988994,0.00008468913,0.0002629584,0.0002728394,0.0002675932,0.0002125271],"domain_scores_gemma":[0.9984663,0.0007929522,0.0002050671,0.0003961119,0.00007226281,0.0000673067],"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":[0.001795347,0.001439501,0.3222803,0.001709327,0.002370006,0.0007150135,0.0492974,0.0002158948,0.001916548,0.006969376,0.003244885,0.6080464],"study_design_scores_gemma":[0.001067488,0.00009676011,0.9756848,0.0005008578,0.0002762343,0.0001830621,0.01878294,0.002030247,0.0004369463,0.00003827834,0.00077097,0.0001314854],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875576,0.004334112,0.0002261639,0.004721142,0.0001130642,0.001206499,0.00002250661,0.00004303206,0.001775904],"genre_scores_gemma":[0.9965726,0.002330481,0.0004006348,0.0003093359,0.00005524015,0.00008276806,0.00001159627,0.000009721141,0.0002275933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6534045,"threshold_uncertainty_score":0.2846329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01907075047896672,"score_gpt":0.2760054431111545,"score_spread":0.2569346926321878,"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."}}