{"id":"W4307300331","doi":"10.23889/ijpds.v7i1.1708","title":"Using Linked Data to Identify Pathways of Reporting Overdose Events in British Columbia, 2015 - 2017","year":2022,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; University of British Columbia; BC Centre for Disease Control; Public Health Agency of Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Health, British Columbia","keywords":"Medicine; Drug overdose; Emergency department; Cohort; Health care; Medical emergency; Cohort study; Emergency medicine; Public health; Opioid overdose; Family medicine; Poison control; Psychiatry; Nursing; Opioid","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002992688,0.00006123012,0.0001846019,0.000278129,0.0003226413,0.0001888961,0.001684899,0.00001827883,0.00009622383],"category_scores_gemma":[0.003086825,0.00009088952,0.00003692087,0.0004027121,0.00003412389,0.001549174,0.001746685,0.0001603135,0.000001294075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005139057,"about_ca_system_score_gemma":0.0005784063,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01909449,"about_ca_topic_score_gemma":0.005738257,"domain_scores_codex":[0.9967897,0.00003436468,0.001074828,0.0004595561,0.001446043,0.0001954952],"domain_scores_gemma":[0.9975631,0.00003616776,0.001143002,0.0007465553,0.0003954477,0.0001157564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005124929,0.0003057214,0.9858003,0.00001343807,0.00003448765,0.0001144001,0.0001417708,0.00128145,0.005419828,0.00001207954,0.00230111,0.004524109],"study_design_scores_gemma":[0.001034914,0.00007177197,0.9562704,0.000198962,0.00002794081,0.0008621309,0.0003187874,0.0397676,0.00001364808,0.0003645574,0.0009837731,0.00008549754],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942167,0.00008385791,0.001177907,0.0003561392,0.001833491,0.0004356689,0.001875288,0.000008554791,0.00001240544],"genre_scores_gemma":[0.9848497,0.00002058518,0.01222584,0.000119025,0.0001250934,0.000008768429,0.002561259,0.00001091652,0.00007883057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03848615,"threshold_uncertainty_score":0.9874374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.263308392816434,"score_gpt":0.484975933437795,"score_spread":0.2216675406213611,"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."}}