{"id":"W2969831307","doi":"10.1503/cmaj.190257","title":"Naloxone as a technology of solidarity: history of opioid overdose prevention","year":2019,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"(+)-Naloxone; HERO; Opioid overdose; Solidarity; Opioid abuse; Slogan; Medicine; Opioid; Medical emergency; Computer science; Political science; Internal medicine; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.003765756,0.0005111709,0.0003615702,0.001567902,0.002983276,0.003860408,0.0008830887,0.003325605,0.006848891],"category_scores_gemma":[0.005882167,0.0003333757,0.0003823703,0.001317655,0.01255452,0.00489893,0.003161944,0.0077142,0.001540001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007231222,"about_ca_system_score_gemma":0.005282724,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01415639,"about_ca_topic_score_gemma":0.02025201,"domain_scores_codex":[0.997638,0.0009702826,0.0001340801,0.0003440823,0.0006673502,0.0002462926],"domain_scores_gemma":[0.9965003,0.001990798,0.0001828364,0.0002279293,0.0007828831,0.0003153549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001774953,0.0002908859,0.001499559,0.001405645,0.00003725099,0.0003842293,0.004798487,0.0004127997,0.0005374111,0.4353658,0.124838,0.4302524],"study_design_scores_gemma":[0.00001941266,0.0001481527,0.001237807,0.001600485,0.00001521391,0.0004815874,0.001275384,0.0001711478,0.0006064191,0.02769408,0.966718,0.00003230339],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01113941,0.5170383,0.006492557,0.2316399,0.008453544,0.00008016312,0.0001341266,0.0001964456,0.2248255],"genre_scores_gemma":[0.2308783,0.5721374,0.01110416,0.09173968,0.006589752,0.0001970168,0.0001225157,0.0002378485,0.08699331],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9970167,"threshold_uncertainty_score":0.05246645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005682419848041748,"score_gpt":0.2404136430115111,"score_spread":0.2347312231634693,"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."}}