{"id":"W6923669133","doi":"10.14288/1.0379400","title":"Environmental Scan Naloxone Access and Distribution in Canada","year":2019,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Social and Intergroup Psychology","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"(+)-Naloxone; Opioid overdose; Opioid antagonist; Medical prescription; Opioid; Population; Distribution (mathematics); Poison control","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":[0.0009090868,0.0003483626,0.0004101123,0.005843719,0.003813251,0.002746069,0.00184874,0.000556167,0.01837978],"category_scores_gemma":[0.004112909,0.0003983154,0.0005248432,0.01571245,0.0008006243,0.0008303326,0.00132308,0.0009765974,0.001346481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05903545,"about_ca_system_score_gemma":0.1417653,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9972886,"about_ca_topic_score_gemma":0.998623,"domain_scores_codex":[0.9968385,0.0001216054,0.0001392626,0.000301788,0.001969442,0.0006294512],"domain_scores_gemma":[0.985159,0.0006230868,0.0007279671,0.0001864027,0.01206472,0.001238806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000287444,0.0001782679,0.4504661,0.002745007,0.0001998621,0.001379914,0.003134032,0.002115171,0.001000737,0.005658789,0.2910314,0.2418034],"study_design_scores_gemma":[0.00003776512,0.000104584,0.68222,0.001503345,0.0000949828,0.0003935734,0.004839648,0.001013329,0.0006959864,0.0004937429,0.3085037,0.00009923705],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.222191,0.02146138,0.002130325,0.01761503,0.0004590569,0.001039915,0.4869542,0.000913768,0.2472355],"genre_scores_gemma":[0.7685847,0.03182265,0.006691935,0.0103828,0.0001797849,0.000660287,0.1201935,0.0004019717,0.06108239],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05903545,"threshold_uncertainty_score":0.4283342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006335602442722645,"score_gpt":0.1906744290674933,"score_spread":0.1843388266247707,"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."}}