{"id":"W1582182946","doi":"10.1111/j.1360-0443.2007.02048.x","title":"[Commentary] UNDERSTANDING THE PARAMETERS OF NON‐MEDICAL USE OF PRESCRIPTION DRUGS: MOVING BEYOND MERE NUMBERS","year":2007,"lang":"en","type":"letter","venue":"Addiction","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health; University of Victoria","funders":"","keywords":"Medical prescription; Medicine; Addiction; Heroin; Context (archaeology); Substance abuse; Codeine; Population; Prescription Drug Misuse; Psychiatry; Prescription drug; Drug; Opioid; Pharmacology; Environmental health; Morphine; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005984893,0.001806757,0.002638518,0.002274457,0.004049833,0.006355327,0.007907366,0.03845877,0.03541919],"category_scores_gemma":[0.05593589,0.001305513,0.002784886,0.002443553,0.005396972,0.008984023,0.002382255,0.04213279,0.01558431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006061548,"about_ca_system_score_gemma":0.01121575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02268302,"about_ca_topic_score_gemma":0.03279247,"domain_scores_codex":[0.9942256,0.001658146,0.0005683137,0.0007171227,0.002329553,0.0005014092],"domain_scores_gemma":[0.9611055,0.02284229,0.002073089,0.0007495228,0.01075326,0.002476398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001511787,0.000005968666,0.00005192727,0.0001531479,0.00001071666,0.00004257496,0.0000317333,0.00001148384,0.00001559945,0.0005179645,0.9955059,0.003637811],"study_design_scores_gemma":[0.00006789143,0.00002764383,0.0005215409,0.001095612,0.00003660945,0.0001541077,0.0001776813,0.0001055303,0.00005341396,0.002506933,0.9952081,0.00004489674],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00008049513,0.004122015,0.0001156202,0.7781074,0.2146392,0.00003649406,0.0003450591,0.00005403446,0.00249968],"genre_scores_gemma":[0.0009371983,0.00528918,0.0001583046,0.727063,0.2621132,0.0000727794,0.000128882,0.00004823103,0.004189218],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03845877,"threshold_uncertainty_score":0.118489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02966223440083595,"score_gpt":0.2750189616076235,"score_spread":0.2453567272067875,"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."}}