{"id":"W2031228145","doi":"10.5539/gjhs.v7n5p260","title":"Fairness of Financial Contribution in Iranian Health System: Trend Analysis of National Household Income and Expenditure, 2003-2010","year":2015,"lang":"en","type":"article","venue":"Global Journal of Health Science","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Health and Medical Education; Iran University of Medical Sciences","keywords":"Index (typography); Demographic economics; Rural area; Population; Health care; Business; Economics; Distribution (mathematics); Socioeconomics; Economic growth; Environmental health; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008858388,0.0001056913,0.001059765,0.001010213,0.0001091696,0.00002370006,0.0002810886,0.00008259696,0.000001784391],"category_scores_gemma":[0.0002845124,0.00008743942,0.00008150929,0.003112074,0.0001924902,0.0003905722,0.00004008626,0.0001500059,8.566857e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001468485,"about_ca_system_score_gemma":0.00236987,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01183931,"about_ca_topic_score_gemma":0.001371848,"domain_scores_codex":[0.9967346,0.0000590934,0.002244539,0.0002224003,0.0003558952,0.0003834472],"domain_scores_gemma":[0.9962015,0.00001053068,0.002829628,0.0001342782,0.0004523039,0.0003718258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004195534,0.00008201933,0.9491991,0.0002401533,0.00002708521,0.000003315832,0.0004015389,0.0006664135,0.00000210446,0.04709891,0.0001368247,0.00210055],"study_design_scores_gemma":[0.0008579327,0.00033312,0.9961503,0.0001856846,0.000002986385,0.00006323877,0.0003147956,0.0008210278,0.000003505115,0.0009549959,0.00023631,0.00007617363],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890341,0.006515487,0.001503183,0.0007150983,0.001194644,0.0002017262,0.0006300745,0.000004351891,0.0002014052],"genre_scores_gemma":[0.9993782,0.000172752,0.0002760803,0.0001013759,0.00005894142,0.000001458994,0.000004416662,0.000002983338,0.000003767165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0469511,"threshold_uncertainty_score":0.994741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05542078950933092,"score_gpt":0.3062726572465805,"score_spread":0.2508518677372496,"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."}}