{"id":"W4390631756","doi":"10.1136/bmjopen-2022-070031","title":"Impact of the COVID-19 pandemic on prescription drug use and costs in British Columbia: a retrospective interrupted time series study","year":2024,"lang":"en","type":"article","venue":"BMJ Open","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women's College Hospital; University of Toronto; University of British Columbia","funders":"Canadian Institutes of Health Research; Ministry of Health, British Columbia","keywords":"Medicine; Medical prescription; Pharmacy; Pandemic; Interrupted Time Series Analysis; Public health; Retrospective cohort study; Emergency medicine; Prescription drug; Interrupted time series; Population; Coronavirus disease 2019 (COVID-19); Pediatrics; Family medicine; Environmental health; Internal medicine; Psychological intervention; Pharmacology; Psychiatry","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":[0.002051542,0.0005028018,0.0007517987,0.001779359,0.0009004776,0.001531947,0.001671445,0.0007284613,0.001991394],"category_scores_gemma":[0.007647267,0.0005841751,0.0006085018,0.006051674,0.0005641325,0.0004267256,0.0009114606,0.0009985903,0.0003050379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01039026,"about_ca_system_score_gemma":0.01038968,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9275321,"about_ca_topic_score_gemma":0.880969,"domain_scores_codex":[0.9976336,0.0004238504,0.0003472572,0.000387455,0.0007127409,0.0004951129],"domain_scores_gemma":[0.9932359,0.0008937664,0.002267966,0.0007241289,0.002147984,0.0007302762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002094356,0.00004364589,0.9957042,0.00005245635,0.0001965969,0.0000938725,0.0002044385,0.0003571673,0.00006953302,0.00005948309,0.0008325622,0.002176549],"study_design_scores_gemma":[0.0000111156,0.00004073925,0.9975531,0.00003961812,0.00005011793,0.00006547217,0.0003089198,0.001048069,0.00003611684,0.0000182437,0.0008159862,0.00001244588],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846795,0.0007638615,0.0003971194,0.0002666882,0.0000147353,0.00009178816,0.01261223,0.00002337538,0.00115067],"genre_scores_gemma":[0.9871514,0.0006025481,0.0004266778,0.0001664818,0.00001580353,0.0001283661,0.01057727,0.00001190435,0.0009196107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07246786,"threshold_uncertainty_score":0.1457892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1219124481928496,"score_gpt":0.4647893171098213,"score_spread":0.3428768689169717,"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."}}