{"id":"W4308683903","doi":"10.1093/schizbullopen/sgac036","title":"Canadian Healthcare System and Individuals with Severe Mental Disorders During Coronavirus Disease 2019: Challenges and Unmet Needs","year":2022,"lang":"en","type":"review","venue":"Schizophrenia Bulletin Open","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"Canadian Institutes of Health Research; Bausch Health; H. Lundbeck A/S; National Natural Science Foundation of China; Purdue University; Biogen; Sunovion; Novo Nordisk; Eisai; Sanofi; Pfizer","keywords":"Mental health; Pandemic; Health care; Population; Medicine; Mental illness; Nursing; Business; Disease; Psychiatry; Environmental health; Coronavirus disease 2019 (COVID-19); Economic growth; Infectious disease (medical specialty)","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000650959,0.0007616675,0.001613823,0.0005259246,0.0009402775,0.0001780681,0.0008601886,0.0002685445,0.002019025],"category_scores_gemma":[0.0000129881,0.0006753605,0.0001244477,0.0002610175,0.0001258872,0.00007388504,0.0009803821,0.0008299635,0.0001629507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001663438,"about_ca_system_score_gemma":0.002396767,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2467754,"about_ca_topic_score_gemma":0.1571726,"domain_scores_codex":[0.9959165,0.0009576104,0.0006314515,0.001189615,0.0003793148,0.0009255126],"domain_scores_gemma":[0.9969472,0.0002232085,0.0004066254,0.0007855823,0.00001531748,0.001622099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006486282,0.00007293932,0.0006201797,0.02423578,0.000336527,0.0001707494,0.001771582,1.094734e-7,2.232712e-9,0.003590201,0.00158603,0.9669673],"study_design_scores_gemma":[0.002175429,0.0002769126,0.003015548,0.00533214,0.0003685199,0.0003862498,0.004136681,9.123907e-8,3.562208e-9,0.00002078051,0.9835198,0.0007678518],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0009395416,0.9818907,4.906567e-8,0.004383793,0.0006198284,0.005195815,0.003678536,0.00007200196,0.003219754],"genre_scores_gemma":[0.001510601,0.992609,0.00006440243,0.0003934733,0.0001339879,0.001545757,0.000838378,0.0001724832,0.002731896],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9819338,"threshold_uncertainty_score":0.9995698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07344302454744349,"score_gpt":0.377586868591543,"score_spread":0.3041438440440995,"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."}}