{"id":"W4416539070","doi":"10.15288/jsad.25-00213","title":"Non-medical use of prescription opioids: use to experience subjective effects vs. other non-medical use among adults in Ontario, Canada from 2020 to 2024","year":2025,"lang":"en","type":"article","venue":"Journal of Studies on Alcohol and Drugs","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto; Western University; Centre for Addiction and Mental Health","funders":"","keywords":"Medical prescription; Intervention (counseling); Suicide prevention; Injury prevention; Poison control; Human factors and ergonomics; Occupational safety and health","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000223563,0.000280534,0.0008593295,0.0002537239,0.000062503,0.00003453436,0.0001385706,0.0001303521,0.00005519548],"category_scores_gemma":[0.001845334,0.0002036701,0.0001023319,0.0003236964,0.0001167412,0.000241575,0.000170413,0.0005066757,0.000002348367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007687287,"about_ca_system_score_gemma":0.001161514,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8652667,"about_ca_topic_score_gemma":0.8854406,"domain_scores_codex":[0.9973932,0.00006778685,0.0007534419,0.0003658572,0.001124559,0.0002951693],"domain_scores_gemma":[0.9980294,0.0007331853,0.0001936592,0.0002351508,0.0002947334,0.0005138425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003436608,0.0007198137,0.9319093,0.0001609028,0.0007746852,0.0007914557,0.03581376,0.00003553392,0.0001129813,0.000003853733,0.02480003,0.001441058],"study_design_scores_gemma":[0.004705092,0.001143733,0.9767912,0.007457682,0.0001672607,0.000007662999,0.007018365,0.00009148309,0.0009332312,0.000006108963,0.001518926,0.0001592725],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954579,0.0004803077,0.00002391788,0.002042618,0.001137255,0.0007743344,0.00001819067,0.000005219869,0.00006019956],"genre_scores_gemma":[0.9941604,0.0003898648,0.0003447697,0.004017267,0.0001001297,0.00006337856,0.000002953188,0.00001731691,0.000903883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04488187,"threshold_uncertainty_score":0.8305428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0127812120660725,"score_gpt":0.2833500719524785,"score_spread":0.270568859886406,"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."}}