{"id":"W2127046578","doi":"10.5172/hesr.2007.16.3-4.279","title":"Health inequalities in Argentina: Patterns, contradictions and implications","year":2007,"lang":"en","type":"article","venue":"Health Sociology Review","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Deakin University; University of Essex","keywords":"Life expectancy; Inequality; Population health; Health equity; Health indicator; Social determinants of health; Infant mortality; Demographic economics; Sociology; Population; Socioeconomics; Geography; Demography; Psychology; Economic growth; Health care; Economics","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":[0.001342469,0.000134861,0.0002757648,0.001893853,0.0006678286,0.001128295,0.0002867007,0.0002614873,0.00192739],"category_scores_gemma":[0.002356289,0.00007158047,0.00009136523,0.003249063,0.001163821,0.0006105443,0.0008672275,0.0003892038,0.00006776056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001731878,"about_ca_system_score_gemma":0.001089173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05869615,"about_ca_topic_score_gemma":0.08346017,"domain_scores_codex":[0.9993129,0.0002700968,0.00003860645,0.00009883034,0.0001564988,0.0001230306],"domain_scores_gemma":[0.9985185,0.0007040284,0.0003289024,0.00005999071,0.0003065033,0.00008204271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002581011,0.0001155741,0.595273,0.001759361,0.0001544385,0.0007934163,0.02632101,0.0006674265,0.001521507,0.06368105,0.0106577,0.2987974],"study_design_scores_gemma":[0.000009283988,0.00003973956,0.9562545,0.0006622514,0.00003174789,0.0002153808,0.0126772,0.0004391833,0.0001473096,0.006488889,0.02302371,0.00001079563],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8616725,0.07205192,0.001074526,0.0202457,0.0001319313,0.00003244735,0.001195979,0.00002296918,0.04357202],"genre_scores_gemma":[0.9882457,0.01048386,0.0002480108,0.0002183829,0.0001016874,0.000009969899,0.0001948079,0.000002749633,0.0004947872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05869615,"threshold_uncertainty_score":0.116709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1311390852800842,"score_gpt":0.4525000086207215,"score_spread":0.3213609233406373,"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."}}