{"id":"W4283317644","doi":"10.1177/13558196221079160","title":"Socioeconomic inequalities in health care utilization in Paraguay: Description of trends from 1999 to 2018","year":2022,"lang":"en","type":"article","venue":"Journal of Health Services Research & Policy","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Inequality; Socioeconomic status; Health care; Index (typography); Poverty; Health equity; Demography; Economic inequality; Income distribution; Demographic economics; Medicine; Socioeconomics; Economics; Population; Sociology; Economic growth; Mathematics","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":[0.0004195931,0.0002734016,0.0002092181,0.001227454,0.0002640739,0.0004413985,0.0004149171,0.0001586828,0.001069789],"category_scores_gemma":[0.001196366,0.0001267056,0.0003168236,0.002403625,0.0001745621,0.0004418365,0.0006747253,0.0004078011,0.0001339357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00151343,"about_ca_system_score_gemma":0.0005440587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1320876,"about_ca_topic_score_gemma":0.1072214,"domain_scores_codex":[0.9997682,0.00003963747,0.00003147554,0.00005911871,0.00003717816,0.00006441028],"domain_scores_gemma":[0.9993476,0.00005479618,0.0003544522,0.00002562125,0.0001615549,0.00005596323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001070883,0.00002206305,0.9886636,0.00009264058,0.0001083224,0.00007901474,0.0005152699,0.0003830564,0.0002188383,0.0001791488,0.001035044,0.008595881],"study_design_scores_gemma":[9.030142e-7,0.00001103913,0.9989084,0.00001928382,0.000007819846,0.00003319043,0.00018174,0.0002113963,0.00002948782,0.00001759504,0.0005769937,0.000002179857],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845031,0.001423561,0.0002112464,0.0002956072,0.00001062529,0.00001657053,0.01105111,0.00002003954,0.002468009],"genre_scores_gemma":[0.9949404,0.0005929775,0.0001640113,0.00002156553,0.000009641796,0.00002371607,0.004023521,0.00000400037,0.0002203033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1320876,"threshold_uncertainty_score":0.2626376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1852805933560289,"score_gpt":0.4260338668612447,"score_spread":0.2407532735052158,"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."}}