{"id":"W4317930776","doi":"10.3390/ijerph20032120","title":"Optimists and Realists: A Latent Class Analysis of Students Graduating from High School during COVID-19 and Impacts on Affect and Well-Being","year":2023,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Affect (linguistics); Pandemic; Latent class model; Psychology; Coronavirus disease 2019 (COVID-19); Population; Life satisfaction; Subgroup analysis; Mental health; Clinical psychology; Gerontology; Medicine; Demography; Disease; Social psychology; Psychiatry; Environmental health; Internal medicine; Meta-analysis; Sociology","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":[0.004561303,0.0007212303,0.0008429078,0.001674656,0.00214268,0.003101572,0.001086646,0.001134602,0.00389587],"category_scores_gemma":[0.008187062,0.0005127027,0.002183861,0.001302562,0.001299902,0.001429858,0.002808012,0.002799235,0.0006394531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00134985,"about_ca_system_score_gemma":0.001230235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01213052,"about_ca_topic_score_gemma":0.01457417,"domain_scores_codex":[0.9973598,0.001106833,0.0001648384,0.0003165983,0.0004338456,0.0006181527],"domain_scores_gemma":[0.9937748,0.001778139,0.001797816,0.0006149476,0.0004985284,0.001535805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004376748,0.0009256147,0.9883969,0.00001815839,0.0001364085,0.00004354775,0.004753442,0.0001534516,0.0002426301,0.0001433422,0.0004916127,0.004257168],"study_design_scores_gemma":[0.00002287846,0.0002856674,0.9872837,0.00002005172,0.00003069352,0.00003087772,0.008954153,0.002834496,0.00006608262,0.0001546522,0.0002962923,0.00002046804],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993667,0.00002106632,0.000165328,0.00009117211,0.00001062507,0.00003710447,0.0001192491,0.000002968427,0.0001858097],"genre_scores_gemma":[0.9990187,0.00002982886,0.0001985727,0.00002816679,0.00001177299,0.0000892823,0.0003896823,0.000004530148,0.0002294586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01213052,"threshold_uncertainty_score":0.02412277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1116258308276727,"score_gpt":0.4940007674735651,"score_spread":0.3823749366458925,"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."}}