{"id":"W4210334630","doi":"10.2196/preprints.32876","title":"Machine Learning–Based Predictive Modeling of Anxiety and Depressive Symptoms During 8 Months of the COVID-19 Global Pandemic: Repeated Cross-sectional Survey Study (Preprint)","year":2021,"lang":"en","type":"preprint","venue":"","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Vector Institute; University of Guelph; Public Health Ontario; University of Toronto; Institute for Clinical Evaluative Sciences; Lakehead University; Western University; Centre for Addiction and Mental Health","funders":"","keywords":"Anxiety; Mental health; Cross-sectional study; Distress; Psychology; Population; Pandemic; Depression (economics); Demography; Clinical psychology; Medicine; Psychiatry; Coronavirus disease 2019 (COVID-19); Environmental health","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":[0.004863943,0.0005627247,0.0005889579,0.0006113359,0.0006219439,0.001070328,0.001455162,0.0007568543,0.002273444],"category_scores_gemma":[0.01093086,0.0004464332,0.001620652,0.0008787413,0.0003744642,0.0003770314,0.0006724502,0.001522612,0.0004519241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002073269,"about_ca_system_score_gemma":0.003004989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4563865,"about_ca_topic_score_gemma":0.3409637,"domain_scores_codex":[0.9990897,0.0004457193,0.00004381782,0.0001935822,0.00007969281,0.0001474257],"domain_scores_gemma":[0.9951478,0.002643803,0.0005801601,0.0004924443,0.0007524542,0.0003833722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002808963,0.0003518909,0.9783347,0.00003191152,0.0004071545,0.00008167636,0.0002231429,0.01059596,0.0001356671,0.0002410961,0.002082927,0.007232889],"study_design_scores_gemma":[0.0000485643,0.000250807,0.7867954,0.00005705674,0.0002113986,0.00006899666,0.0006229175,0.2104181,0.0001485709,0.0003786249,0.0009636878,0.00003577752],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959351,0.0001459871,0.001335415,0.0003124098,0.00002836888,0.0000438423,0.001906474,0.00002560579,0.0002667666],"genre_scores_gemma":[0.9943576,0.0001155937,0.001748071,0.00006452654,0.00002316584,0.00006854039,0.003094176,0.00001002084,0.000518338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4563865,"threshold_uncertainty_score":0.90746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07516935784078334,"score_gpt":0.4102399382473031,"score_spread":0.3350705804065198,"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."}}