{"id":"W2944410023","doi":"10.31027/odprn.2019.01","title":"Naloxone Distribution Across Ontario: A Brief Report by the Ontario Drug Policy Research Network","year":2019,"lang":"en","type":"report","venue":"","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Distribution (mathematics); (+)-Naloxone; Drug; Geography; Medicine; Opioid; Pharmacology; Mathematics; Internal medicine","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":[0.001286571,0.000251354,0.0002563298,0.002269658,0.004406516,0.001909669,0.001003538,0.0008949703,0.003720803],"category_scores_gemma":[0.004211322,0.0005600055,0.0004620444,0.005426645,0.0007034262,0.0007215893,0.001128617,0.001060861,0.000424857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0952914,"about_ca_system_score_gemma":0.2221817,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9976317,"about_ca_topic_score_gemma":0.9989026,"domain_scores_codex":[0.9970357,0.0001391293,0.0001396007,0.00009500235,0.001920227,0.0006702624],"domain_scores_gemma":[0.9914857,0.0005173298,0.001174969,0.0001140126,0.004978886,0.001729113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002864701,0.0003135139,0.5658662,0.001425883,0.0001713881,0.001095772,0.00731673,0.0009689957,0.001589062,0.002970064,0.3470877,0.07090823],"study_design_scores_gemma":[0.00003139283,0.00003842594,0.9033453,0.0001676567,0.00003859455,0.0000594014,0.002708591,0.0004822789,0.0002544574,0.00008129846,0.09276259,0.00003009707],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5589045,0.01590863,0.0009734292,0.1702014,0.0007000124,0.00195014,0.1379186,0.0002690094,0.1131745],"genre_scores_gemma":[0.8023087,0.02736752,0.002944741,0.01359483,0.0004675666,0.001182589,0.03712028,0.0001006649,0.1149131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0952914,"threshold_uncertainty_score":0.6913908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05726790943829109,"score_gpt":0.3990737378754264,"score_spread":0.3418058284371353,"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."}}