{"id":"W2083817955","doi":"10.1007/s11136-010-9673-x","title":"Gender differences in health-related quality-of-life are partly explained by sociodemographic and socioeconomic variation between adult men and women in the US: evidence from four US nationally representative data sets","year":2010,"lang":"en","type":"article","venue":"Quality of Life Research","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":236,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Aging; University of California, Los Angeles; Agency for Healthcare Research and Quality; RAND Corporation","keywords":"Socioeconomic status; Marital status; Demography; Medicine; Medical Expenditure Panel Survey; Gerontology; Quality of life (healthcare); Public health; Educational attainment; National Health Interview Survey; Quality of Life Research; Environmental health; Health care; Population; Health insurance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.04363427,0.0001178171,0.0006410955,0.0001767461,0.0004916966,0.00009952271,0.0007081412,0.0002139345,0.00008436699],"category_scores_gemma":[0.01580838,0.0001004977,0.00003341558,0.0003426058,0.0009311849,0.0005525064,0.0002216738,0.0006946914,0.000001633671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001485935,"about_ca_system_score_gemma":0.001478873,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3429059,"about_ca_topic_score_gemma":0.08528744,"domain_scores_codex":[0.9856465,0.01056106,0.001401907,0.0005147337,0.001238755,0.000637035],"domain_scores_gemma":[0.9787605,0.01954585,0.0006742384,0.0004218877,0.0002671548,0.0003303814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006806978,0.00004860955,0.8801481,0.0002626275,0.00003990707,2.084941e-7,0.1164529,5.788473e-7,0.00000990089,0.002286674,0.000568595,0.0001138267],"study_design_scores_gemma":[0.0005866094,0.00002544412,0.8759291,0.00006946608,0.000001778276,2.324903e-8,0.1081807,0.0001465955,7.769514e-7,0.01495343,0.00001881378,0.00008726383],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9523122,0.000705774,0.000009955654,0.04568237,0.00004146908,0.0006102284,0.0005534219,0.000007810414,0.00007673833],"genre_scores_gemma":[0.9973704,0.00176091,0.0001029479,0.0005367405,0.0000721217,0.00005658729,0.00007039943,0.000006508081,0.00002343928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2576185,"threshold_uncertainty_score":0.9924819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4518083252366473,"score_gpt":0.5134048992992062,"score_spread":0.06159657406255886,"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."}}