{"id":"W3023146761","doi":"10.1111/pcn.13022","title":"Hidden in plain sight: Addressing the unique needs of high‐risk psychiatric populations during the <scp>COVID</scp>‐19 pandemic","year":2020,"lang":"en","type":"article","venue":"Psychiatry and Clinical Neurosciences","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Public Health; University of Toronto; McMaster University; Hamilton Health Sciences","funders":"","keywords":"Pandemic; Mental illness; Medicine; Population; Mental health; Psychiatry; Health care; Coronavirus disease 2019 (COVID-19); Disease; Infectious disease (medical specialty); Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.005437086,0.0006991036,0.00117567,0.0007680561,0.005252517,0.006515482,0.002616767,0.005105882,0.01215546],"category_scores_gemma":[0.03413399,0.0004309272,0.0009717493,0.0005428494,0.002341615,0.005840949,0.00898604,0.01034059,0.002079074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004047833,"about_ca_system_score_gemma":0.02635189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01638009,"about_ca_topic_score_gemma":0.04791592,"domain_scores_codex":[0.994634,0.002722764,0.0002275847,0.0002741303,0.0007906612,0.001350915],"domain_scores_gemma":[0.9875656,0.002404909,0.001014082,0.0002170886,0.001548001,0.007250332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002512052,0.0008430308,0.03746221,0.003418681,0.0002880459,0.004630428,0.01746112,0.001318347,0.0008175615,0.01056575,0.5128586,0.4100851],"study_design_scores_gemma":[0.0002707072,0.001862729,0.09084139,0.03182726,0.0004874583,0.00948738,0.1422719,0.005513585,0.001103474,0.1358419,0.5798572,0.0006350051],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.04928973,0.03280474,0.003518613,0.8785969,0.007343762,0.0003290325,0.0004953798,0.0002578392,0.02736405],"genre_scores_gemma":[0.440808,0.08523131,0.01673838,0.4267735,0.01966559,0.0008424074,0.000912804,0.0003956701,0.008632268],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01638009,"threshold_uncertainty_score":0.04066402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1358699866168535,"score_gpt":0.4133840332804174,"score_spread":0.2775140466635639,"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."}}