{"id":"W3027942908","doi":"10.1016/j.jadohealth.2020.03.009","title":"National-Level Wealth Inequality and Socioeconomic Inequality in Adolescent Mental Well-Being: A Time Series Analysis of 17 Countries","year":2020,"lang":"en","type":"article","venue":"Journal of Adolescent Health","topic":"Psychological Well-being and Life Satisfaction","field":"Psychology","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Vlaamse Overheid; Universitetet i Bergen; University of Glasgow; Vlaamse regering; University of St Andrews","keywords":"Socioeconomic status; Inequality; Economic inequality; Social inequality; Demography; Demographic economics; Economics; Population; Sociology; Mathematics","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":[0.002505113,0.0003510989,0.0007668904,0.001609399,0.0003817596,0.0009317456,0.000443284,0.0003226487,0.001524816],"category_scores_gemma":[0.004637442,0.0002978946,0.001815011,0.003254429,0.0003501559,0.000716287,0.001426075,0.000773602,0.0001547833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004552964,"about_ca_system_score_gemma":0.0004281635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01826604,"about_ca_topic_score_gemma":0.01013026,"domain_scores_codex":[0.9988208,0.0005249637,0.0001416913,0.0002069851,0.0001320373,0.000173407],"domain_scores_gemma":[0.9966216,0.0009420927,0.001454887,0.0003291617,0.0003422149,0.0003101127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006910788,0.00002272775,0.9971164,0.00002744432,0.0005283351,0.00008383294,0.0001335041,0.0005150944,0.0000373751,0.00007219068,0.0002323407,0.001161483],"study_design_scores_gemma":[0.000006100764,0.00004184854,0.9968452,0.00002870404,0.0001047689,0.00005500483,0.0004555927,0.002103921,0.00002889991,0.00005073588,0.0002726498,0.000006611399],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969534,0.0004775666,0.0004476669,0.00009430325,0.00001686503,0.0000250835,0.001670449,0.000006709898,0.0003080441],"genre_scores_gemma":[0.9974782,0.0002219863,0.0002073149,0.00001555909,0.000008702867,0.00003182687,0.001967119,0.000003382231,0.00006585255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01826604,"threshold_uncertainty_score":0.03631938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06012900116326757,"score_gpt":0.3701111892790226,"score_spread":0.3099821881157551,"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."}}