{"id":"W4200082032","doi":"10.1161/circ.144.suppl_2.9876","title":"Abstract 9876: Optimizing Public Naloxone Kit Locations Through Mathematical Modeling","year":2021,"lang":"en","type":"article","venue":"Circulation","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Island Health; University of British Columbia; BC Centre for Disease Control; University of Toronto","funders":"","keywords":"(+)-Naloxone; Opioid overdose; Medicine; McNemar's test; Pharmacy; Medical emergency; Emergency medicine; Public health; Drug overdose; Expanded access; Opioid; Poison control; Family medicine; Nursing; Internal medicine; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001660209,0.001129049,0.0009985922,0.0008455479,0.0004862139,0.001363938,0.001315177,0.001236157,0.004334757],"category_scores_gemma":[0.00573372,0.00072657,0.001425569,0.000739432,0.000732717,0.0009862666,0.0009764462,0.001216253,0.0005403669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002093586,"about_ca_system_score_gemma":0.002951198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05964521,"about_ca_topic_score_gemma":0.02918946,"domain_scores_codex":[0.9993894,0.0002573353,0.00002815908,0.0001436948,0.00008450653,0.00009692954],"domain_scores_gemma":[0.996834,0.002332521,0.0003445688,0.00006910742,0.0003469226,0.00007295343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001778566,0.00002623357,0.002064736,0.00002770817,0.00001618376,0.00002178727,0.00001441961,0.9939319,0.00009640794,0.001138167,0.0004100743,0.002234717],"study_design_scores_gemma":[0.000006029188,0.00001194104,0.0003162084,0.000007273651,0.000006702558,0.000005051465,0.0000130323,0.9986676,0.00005656819,0.000676493,0.0002302735,0.000002889161],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4423144,0.001169579,0.5303213,0.003496735,0.0001719626,0.0003613562,0.003440692,0.0009560691,0.01776788],"genre_scores_gemma":[0.9180204,0.0005234427,0.0718081,0.0003036992,0.0000508351,0.0003958606,0.001608425,0.0001342104,0.007155002],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05964521,"threshold_uncertainty_score":0.1185961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07101815293431997,"score_gpt":0.3127685535173225,"score_spread":0.2417504005830026,"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."}}