{"id":"W4416715777","doi":"10.1038/s41586-025-09797-z","title":"No meta-analytical effect of economic inequality on well-being or mental health","year":2025,"lang":"en","type":"article","venue":"Nature","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Mental health; Inequality; Moderation; Disadvantaged; Null hypothesis; Odds; Confidence interval; Economic inequality","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":[0.05152065,0.003392009,0.01067425,0.003467741,0.002283077,0.007114715,0.003957001,0.006855533,0.01024186],"category_scores_gemma":[0.1590063,0.003081314,0.05733447,0.003795791,0.003193119,0.004504626,0.004759984,0.005129846,0.001067582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002655296,"about_ca_system_score_gemma":0.003807381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01787575,"about_ca_topic_score_gemma":0.02981262,"domain_scores_codex":[0.9495544,0.02613666,0.01173904,0.007670423,0.003051431,0.00184795],"domain_scores_gemma":[0.8957893,0.08262878,0.008222226,0.008682326,0.003323913,0.001353444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.005696116,0.00004705855,0.01197408,0.04504794,0.9299201,0.0001746636,0.0001940095,0.0002195453,0.0003229305,0.000391184,0.001097555,0.004914796],"study_design_scores_gemma":[0.002054911,0.0003562461,0.008974806,0.004404978,0.9807081,0.00007343649,0.00009609654,0.0001339844,0.0001108087,0.0009548485,0.002096662,0.00003510903],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.06132476,0.9025193,0.01234598,0.004772819,0.008104909,0.001151064,0.003442354,0.0004006805,0.005938068],"genre_scores_gemma":[0.9049367,0.06976556,0.007975092,0.009214894,0.002293626,0.001126149,0.001459768,0.0003821271,0.002845973],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05152065,"threshold_uncertainty_score":0.2724705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05296377395837106,"score_gpt":0.4774627239111109,"score_spread":0.4244989499527398,"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."}}