{"id":"W3133270747","doi":"10.1016/j.drugalcdep.2021.108650","title":"Trends in overdose experiences and prevention behaviors among people who use opioids in Baltimore, MD, 2017–2019","year":2021,"lang":"en","type":"article","venue":"Drug and Alcohol Dependence","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute on Drug Abuse; National Institute of Mental Health","keywords":"(+)-Naloxone; Opioid overdose; Medicine; Drug overdose; Logistic regression; Quarter (Canadian coin); Demography; Emergency medicine; Poison control; Opioid; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001384358,0.0001902352,0.0003414744,0.0002305965,0.00005507154,0.00007429971,0.00005982285,0.00008623645,0.0001145862],"category_scores_gemma":[0.0000366272,0.0001769681,0.00005073441,0.0004164749,0.00007609012,0.0004551853,0.00009463925,0.0001759406,0.000003871659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005197939,"about_ca_system_score_gemma":0.00007424141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00316804,"about_ca_topic_score_gemma":0.004344895,"domain_scores_codex":[0.9986034,0.00007434248,0.0002739958,0.0005123556,0.0002605455,0.0002753287],"domain_scores_gemma":[0.9994638,0.00005056903,0.00006072976,0.0002578608,0.00003489938,0.0001321669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004052257,0.0003208146,0.9698882,0.00003694147,0.00001075273,0.0003652158,0.01757959,0.000005661914,0.0003062059,0.00003654293,0.0003006146,0.01110898],"study_design_scores_gemma":[0.002112642,0.00008100065,0.9835961,0.0003233154,0.00004546113,0.00006392854,0.01185294,0.0002241165,0.001418828,0.00004567206,0.00005863777,0.0001773619],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947256,0.004468184,0.000005784593,0.0001406965,0.00009810449,0.0002354326,0.00001149091,0.0000215766,0.0002931221],"genre_scores_gemma":[0.9935457,0.003076392,0.000273606,0.00005252334,0.00001674607,0.0001075274,0.00007857808,0.00001443509,0.002834545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01370795,"threshold_uncertainty_score":0.7216548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01993568721712685,"score_gpt":0.3083642936607353,"score_spread":0.2884286064436084,"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."}}