{"id":"W6920920412","doi":"10.6084/m9.figshare.5793375","title":"MOESM1 of Nonmedical prescription opioid use and illegal drug use: initiation trajectory and related risks among people who use illegal drugs in Vancouver, Canada","year":2018,"lang":"en","type":"article","venue":"Figshare","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medical prescription; Drug; Opioid; Prescription drug; Prescription Drug Misuse; Poison control; Opioid abuse; Injury prevention","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007220856,0.0005356797,0.0008991945,0.002558789,0.003322428,0.001598259,0.002047,0.0006526295,0.06145426],"category_scores_gemma":[0.00779726,0.0005591452,0.001262454,0.006150252,0.0003513785,0.0008121422,0.001393689,0.001613501,0.003799547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009815766,"about_ca_system_score_gemma":0.02263351,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9832287,"about_ca_topic_score_gemma":0.9892501,"domain_scores_codex":[0.9991911,0.00005876989,0.00008192623,0.0001450418,0.0002383149,0.000284754],"domain_scores_gemma":[0.9951484,0.0006558045,0.0006572747,0.0002405611,0.00259829,0.0006998284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002411429,0.00007491991,0.7396852,0.0004805098,0.0002098013,0.00007820428,0.0008920603,0.0003864596,0.00006325552,0.0005696011,0.2429134,0.01440543],"study_design_scores_gemma":[0.00005547766,0.00002794307,0.9774379,0.0005596444,0.0000986355,0.00008104865,0.00194259,0.0006532416,0.00007632333,0.0001478212,0.01887648,0.0000428858],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.09869093,0.0006065576,0.0002858467,0.0008094021,0.00007615869,0.0001888046,0.8901299,0.0001199107,0.009092494],"genre_scores_gemma":[0.5566499,0.00189245,0.002470889,0.0005016293,0.00007195598,0.001035059,0.4014404,0.000225988,0.03571179],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06145426,"threshold_uncertainty_score":0.2055849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02095505629660525,"score_gpt":0.2446496472840764,"score_spread":0.2236945909874712,"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."}}