{"id":"W6923032349","doi":"10.1371/journal.pmed.1004081.s022","title":"Heterogeneity in estimates by age.","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mental health; Quarter (Canadian coin); Pandemic; Depression (economics); Confidence interval; Cohort study; Cohort; Global health; Data collection; Regression analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.1268464,0.001657541,0.004195039,0.01256735,0.0008349873,0.005033321,0.003746269,0.002494432,0.05883455],"category_scores_gemma":[0.4702487,0.001853432,0.009288487,0.01894226,0.00241301,0.007053959,0.005447445,0.004681751,0.009734674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002554768,"about_ca_system_score_gemma":0.002804503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00889534,"about_ca_topic_score_gemma":0.005163811,"domain_scores_codex":[0.8125432,0.1162402,0.02354539,0.02796205,0.01676872,0.00294058],"domain_scores_gemma":[0.6301832,0.2952901,0.01666826,0.04335233,0.01369078,0.0008152855],"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":[0.001653838,0.0002649221,0.1658079,0.02025143,0.04134118,0.0009412628,0.004468813,0.007315354,0.0005225725,0.05777605,0.2225229,0.4771339],"study_design_scores_gemma":[0.001346043,0.000636787,0.2777258,0.01738066,0.01619291,0.003540971,0.005559756,0.02891228,0.001588623,0.16997,0.476503,0.0006431734],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0422187,0.0723904,0.5064769,0.01450436,0.01987275,0.01307685,0.2261195,0.008797728,0.09654278],"genre_scores_gemma":[0.6452447,0.02109365,0.1714949,0.006082947,0.003939545,0.03687846,0.08763357,0.004037441,0.02359482],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1268464,"threshold_uncertainty_score":0.670836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1786947609374238,"score_gpt":0.4607402638068718,"score_spread":0.282045502869448,"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."}}