{"id":"W2130940610","doi":"10.1136/jech.58.2.145","title":"Country of birth, socioeconomic position, and healthcare expenditure: a multilevel analysis of Malmö, Sweden","year":2004,"lang":"en","type":"article","venue":"Journal of Epidemiology & Community Health","topic":"Global Health Care Issues","field":"Health Professions","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Health Economics","funders":"","keywords":"Health care; Medicine; Socioeconomic status; Demography; Equity (law); Population; Multilevel model; Gerontology; Environmental health; Economics; Economic growth","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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.02127859,0.0002884457,0.003162261,0.0008501227,0.001220858,0.000002107066,0.0006041343,0.0005942684,0.0001279214],"category_scores_gemma":[0.003384046,0.0002557016,0.0003555861,0.0004092066,0.0004985602,0.0001946629,0.0001851674,0.003756482,0.00001188471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001693232,"about_ca_system_score_gemma":0.003082332,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0762581,"about_ca_topic_score_gemma":0.03136152,"domain_scores_codex":[0.9793409,0.01443425,0.004836127,0.0002482454,0.0002407446,0.0008997066],"domain_scores_gemma":[0.9792394,0.01126215,0.006912213,0.0009031128,0.0009832772,0.0006998269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007232123,0.0005518411,0.9444176,0.003564642,0.001399861,0.000006621764,0.02631825,0.001102155,0.00009299037,0.01383835,0.006752746,0.001231702],"study_design_scores_gemma":[0.002111134,0.001536021,0.9656597,0.001269405,0.0003013449,0.00004779326,0.01616813,0.00008106342,0.00001231374,0.01082849,0.001818917,0.0001657214],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9560401,0.01206213,0.001010593,0.0289899,0.0006485764,0.0005682979,0.0005082975,0.00002195716,0.000150139],"genre_scores_gemma":[0.9738213,0.006498522,0.006052115,0.01331857,0.0001712896,0.000009545914,0.00009105321,0.00002472223,0.00001287669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04489658,"threshold_uncertainty_score":0.9999895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1300643199731091,"score_gpt":0.5032400123628741,"score_spread":0.373175692389765,"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."}}