{"id":"W3127415324","doi":"10.1093/abm/kaaa126","title":"Trajectories of Mental Distress Among U.S. Adults During the COVID-19 Pandemic","year":2021,"lang":"en","type":"article","venue":"Annals of Behavioral Medicine","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":108,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute on Aging; National Institute on Alcohol Abuse and Alcoholism; National Institute of Child Health and Human Development; Canadian Institutes of Health Research; National Institute of Mental Health; University of South Carolina; U.S. Social Security Administration; Bill and Melinda Gates Foundation; National Institutes of Health; National Science Foundation","keywords":"Mental health; Demography; Odds ratio; Medicine; Odds; Confidence interval; Mental distress; Distress; Pandemic; Population; Logistic regression; Gerontology; Psychiatry; Coronavirus disease 2019 (COVID-19); Environmental health; Disease; Clinical psychology; Internal medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007132011,0.0002954046,0.0002562526,0.0004856507,0.0005721342,0.0007180014,0.0003197826,0.0005584315,0.001028926],"category_scores_gemma":[0.002767988,0.0002614559,0.0005565149,0.0006876391,0.0002350932,0.0007004327,0.001008847,0.000937939,0.0001534182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005910227,"about_ca_system_score_gemma":0.0005924476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04391769,"about_ca_topic_score_gemma":0.07731248,"domain_scores_codex":[0.9996672,0.00009771813,0.00003441386,0.0000582106,0.00004292365,0.00009958541],"domain_scores_gemma":[0.9988956,0.00009746558,0.0005397743,0.00004372049,0.0001399633,0.0002834654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009535987,0.00003012548,0.9970422,0.00001014808,0.00003527929,0.00003599038,0.0003994911,0.0001036797,0.00008874719,0.00001885766,0.0003030022,0.001837141],"study_design_scores_gemma":[0.000002264616,0.00004209237,0.9989941,0.00001491046,0.000007375337,0.00004184084,0.0005854801,0.0001573481,0.00001819693,0.00002223299,0.000110702,0.000003457064],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998085,0.0002445787,0.00005440141,0.0003086953,0.000008543486,0.00001810717,0.0009659099,0.000004513514,0.0003103422],"genre_scores_gemma":[0.9983203,0.0002490122,0.00009423787,0.00008782109,0.000007894059,0.00002201205,0.001080225,0.000001401829,0.0001370592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04391769,"threshold_uncertainty_score":0.08732414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.199434872543007,"score_gpt":0.4910464296700643,"score_spread":0.2916115571270573,"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."}}