{"id":"W1784098548","doi":"","title":"Country of birth and socioeconomic disparities in utilisation of health care and disability pensions - a multilevel approach","year":2005,"lang":"en","type":"dissertation","venue":"Lund University Publications (Lund University)","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Family Medicine","funders":"","keywords":"Socioeconomic status; Health care; Context (archaeology); Disability pension; Demographic economics; Pension; Health equity; Social determinants of health; Medicine; Geography; Demography; Environmental health; Economic growth; Business; Population; Economics; Sociology","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":[0.002077894,0.0002311635,0.0007875034,0.001856395,0.0009249793,0.001273499,0.0005844064,0.0006140759,0.003218279],"category_scores_gemma":[0.00495371,0.0002447387,0.002139721,0.002044232,0.0004341053,0.0007757317,0.002906285,0.00107094,0.000176732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008300482,"about_ca_system_score_gemma":0.001142437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03278211,"about_ca_topic_score_gemma":0.0310187,"domain_scores_codex":[0.9981827,0.0009136939,0.0001332247,0.0002798692,0.000186575,0.000304012],"domain_scores_gemma":[0.9974981,0.001198523,0.0006087325,0.000250481,0.0001695164,0.0002746492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000138624,0.0000904962,0.9821417,0.0001660884,0.001637163,0.0001523653,0.00111683,0.0005801395,0.0001754261,0.002830083,0.0008171964,0.01015377],"study_design_scores_gemma":[0.000012028,0.0001720837,0.9887284,0.0003690144,0.0009539829,0.00012004,0.002132511,0.003411501,0.0001255756,0.002252372,0.001696246,0.0000263064],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901586,0.002895638,0.001641221,0.001196043,0.00004972361,0.0000474653,0.001689815,0.0000124496,0.002309194],"genre_scores_gemma":[0.997286,0.0006909331,0.001078471,0.00005924313,0.00001745653,0.00005073973,0.0004954454,0.000005093634,0.0003165335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03278211,"threshold_uncertainty_score":0.06518257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0220577359034221,"score_gpt":0.2804157375954013,"score_spread":0.2583580016919792,"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."}}