{"id":"W4315630587","doi":"10.1332/175795921x16715373405417","title":"Charting well-being over adulthood into pandemic times: a longitudinal perspective","year":2023,"lang":"en","type":"article","venue":"Longitudinal and Life Course Studies","topic":"Psychological Well-being and Life Satisfaction","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Pandemic; Life course approach; Perspective (graphical); Longitudinal study; Young adult; Psychology; Early adulthood; Coronavirus disease 2019 (COVID-19); Well-being; Demography; Life span; Cohort; Developmental psychology; Gerontology; Sociology; Medicine; Disease","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000820568,0.0004820071,0.0006964098,0.0002007993,0.0008481388,0.00007457913,0.0001921762,0.000212261,0.0007644844],"category_scores_gemma":[0.0004786043,0.000393907,0.0001930999,0.0007588131,0.0004545779,0.0002014593,0.000230228,0.0005750073,0.001521538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009484633,"about_ca_system_score_gemma":0.00003485021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004350946,"about_ca_topic_score_gemma":0.0001025345,"domain_scores_codex":[0.9968854,0.0002260224,0.000531735,0.001120449,0.0003859339,0.0008504456],"domain_scores_gemma":[0.9982897,0.0005912441,0.000235956,0.000370058,0.0002327173,0.0002802934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004185069,0.0002418417,0.8734246,0.0001056429,0.002164096,0.0003165386,0.03497227,0.00002006064,0.00009578596,0.0354692,0.0457751,0.006996364],"study_design_scores_gemma":[0.001335859,0.000437553,0.9248098,0.0002312324,0.0003191714,0.00008032565,0.05265535,0.00007633489,0.000008627278,0.01636129,0.003117829,0.0005666665],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9357769,0.0138211,0.00006218901,0.003468035,0.001956603,0.0003513133,0.000009002354,0.0007867516,0.04376803],"genre_scores_gemma":[0.9910665,0.002652275,0.00006470031,0.0004943185,0.001181442,0.000140986,0.000009383854,0.00004561154,0.004344796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05528951,"threshold_uncertainty_score":0.9998513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05157188659241265,"score_gpt":0.3862384932166643,"score_spread":0.3346666066242516,"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."}}