{"id":"W4366986565","doi":"10.1177/00221465231166334","title":"The Effect of Welfare State Policy Spending on the Equalization of Socioeconomic Status Disparities in Mental Health","year":2023,"lang":"en","type":"article","venue":"Journal of Health and Social Behavior","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Socioeconomic status; Welfare state; Economics; Social policy; Investment (military); Social Welfare; Mental health; Demographic economics; Depression (economics); Welfare; Public economics; Economic growth; Psychology; Political science; Sociology; Demography; Population; Psychiatry; Macroeconomics","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":[0.00147321,0.0001975023,0.0003231517,0.0009099468,0.0004494244,0.00123998,0.0002713134,0.000348216,0.004161732],"category_scores_gemma":[0.007637474,0.0001328493,0.0008204381,0.001806162,0.0006554842,0.0007244425,0.001700207,0.0007155461,0.0002116988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001042274,"about_ca_system_score_gemma":0.001343715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03212796,"about_ca_topic_score_gemma":0.05113139,"domain_scores_codex":[0.9979454,0.00100713,0.00008542946,0.0002013487,0.0001830831,0.0005776592],"domain_scores_gemma":[0.9967476,0.001183312,0.001257756,0.0002720159,0.0002494373,0.0002898644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002038297,0.00008623717,0.9772783,0.00004090295,0.0005302483,0.00007091045,0.0003114242,0.00158822,0.0002894685,0.004619167,0.0008118626,0.0141694],"study_design_scores_gemma":[0.000004986919,0.00003298814,0.9969427,0.00002729917,0.000127338,0.00001562057,0.0003066167,0.0007074571,0.0001168803,0.0005847103,0.00112974,0.000003599775],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873567,0.00103541,0.0008278379,0.00211474,0.00003847992,0.00001645509,0.001398069,0.00001584824,0.007196573],"genre_scores_gemma":[0.9987257,0.0001796523,0.0001193987,0.00009355005,0.00001583514,0.000008067445,0.0003247297,0.000005352651,0.000527793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03212796,"threshold_uncertainty_score":0.06388187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03838544709275868,"score_gpt":0.4142118150966319,"score_spread":0.3758263680038731,"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."}}