{"id":"W4220947827","doi":"10.1371/journal.pone.0265665","title":"Evaluating the population-level effects of overdose prevention sites and supervised consumption sites in British Columbia, Canada: Controlled interrupted time series","year":2022,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Centers for Disease Control and Prevention; British Columbia Centre for Disease Control; McGill University","keywords":"Interrupted Time Series Analysis; Interrupted time series; Series (stratigraphy); Population; Consumption (sociology); Geography; Demography; Medicine; Biology; Environmental health; Statistics; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008309666,0.0008178218,0.001066846,0.001587913,0.001608448,0.001600671,0.003264123,0.0008514801,0.003839344],"category_scores_gemma":[0.01806654,0.0006653963,0.001701124,0.004652437,0.001478195,0.0004945497,0.001562794,0.001731194,0.0002896948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01708569,"about_ca_system_score_gemma":0.0228346,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9731362,"about_ca_topic_score_gemma":0.9465275,"domain_scores_codex":[0.992238,0.002741594,0.0007128527,0.001532662,0.001346129,0.001428756],"domain_scores_gemma":[0.9851441,0.003663477,0.00466819,0.001833444,0.00317043,0.001520355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001327291,0.0002197393,0.9838063,0.0001856822,0.001920724,0.0001360558,0.0005772331,0.003163029,0.000159679,0.0005935883,0.002305462,0.005605264],"study_design_scores_gemma":[0.0002099065,0.0004017033,0.9828997,0.0001165698,0.0009457056,0.00006614583,0.001036477,0.010857,0.0001866317,0.0002187244,0.003021896,0.00003942473],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9727606,0.001700255,0.003425841,0.0004985697,0.00008508292,0.000600352,0.0192536,0.00007825426,0.001597356],"genre_scores_gemma":[0.9855831,0.0004946004,0.001790251,0.0001781511,0.00002425324,0.0005977797,0.00873415,0.00001775197,0.00258005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02686381,"threshold_uncertainty_score":0.123966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04704245759611658,"score_gpt":0.2782607916314742,"score_spread":0.2312183340353576,"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."}}