{"id":"W4394856652","doi":"10.1371/journal.pone.0302164","title":"The impact of the COVID-19 pandemic on the use of restraint and seclusion interventions in Ontario emergency departments: A population-based study","year":2024,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Healthcare Decision-Making and Restraints","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; University of Toronto; McMaster University; Centre for Addiction and Mental Health; Waypoint Centre for Mental Health Care","funders":"","keywords":"Seclusion; Medicine; Psychological intervention; Emergency department; Population; Odds; Pandemic; Logistic regression; Odds ratio; Ambulatory care; Mental health; Ambulatory; Emergency medicine; Health care; Coronavirus disease 2019 (COVID-19); Intervention (counseling); Demography; Family medicine; Psychiatry; Environmental health; Internal medicine; Disease","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":[0.0006745061,0.0004596712,0.0004220154,0.00121819,0.001721988,0.001125429,0.0009948148,0.0007424512,0.001621952],"category_scores_gemma":[0.002862578,0.00060634,0.001104225,0.002639101,0.0009506535,0.0007247166,0.0012396,0.001095537,0.0002125618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01430024,"about_ca_system_score_gemma":0.01141321,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9171962,"about_ca_topic_score_gemma":0.9459163,"domain_scores_codex":[0.9987926,0.0001293246,0.00008640399,0.0001773182,0.0003937903,0.0004204776],"domain_scores_gemma":[0.9972705,0.0001574622,0.00124289,0.000137303,0.0005647889,0.0006269604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005106079,0.00004099267,0.9981139,0.00001544157,0.00003875752,0.00005028432,0.0006552557,0.00002558234,0.00009567838,0.00001636759,0.0002264132,0.0006702456],"study_design_scores_gemma":[0.000003069239,0.00002675663,0.9991626,0.000006086652,0.000007047972,0.00001974476,0.0005512999,0.00005699764,0.00000627736,0.000003388472,0.0001524116,0.000004227814],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973361,0.0001582743,0.00004954986,0.0001785285,0.000006358814,0.00005691359,0.001303932,0.000004046798,0.0009063664],"genre_scores_gemma":[0.9984728,0.0002022515,0.00007712478,0.00009958593,0.00001206924,0.00003582288,0.0007876509,0.000003354425,0.0003094512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08280379,"threshold_uncertainty_score":0.1665828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3851319997311951,"score_gpt":0.4556496444561583,"score_spread":0.07051764472496325,"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."}}