{"id":"W2176862981","doi":"10.5539/ies.v8n12p218","title":"Socio-Economic Factors on Indonesia Education Disparity","year":2015,"lang":"en","type":"article","venue":"International Education Studies","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Education, Culture, Sports, Science and Technology","keywords":"Indonesian; Inequality; Statistic; Economic growth; Geography; Regional autonomy; Autonomy; Socioeconomics; Standard of living; Panel data; Higher education; Development economics; Political science; Demographic economics; Economics; Statistics; Politics","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":[0.0005664329,0.0001158376,0.0001446381,0.0001242072,0.000337211,0.00008896567,0.0002622849,0.00006506676,0.000114269],"category_scores_gemma":[0.001147879,0.0001073926,0.00006340315,0.00007898269,0.0001906389,0.0003945522,0.00004526821,0.0001011995,0.0002788499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001552855,"about_ca_system_score_gemma":0.002072589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005741667,"about_ca_topic_score_gemma":0.001095639,"domain_scores_codex":[0.9988346,0.0001436521,0.0002531378,0.0002193991,0.0003930359,0.0001562322],"domain_scores_gemma":[0.9983261,0.0001770479,0.0001710261,0.0001319832,0.00107664,0.0001171555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002164306,0.0004884649,0.5204265,0.000006479655,0.0001021932,6.913531e-8,0.0345161,0.00001218919,0.000002047532,0.2800614,0.1583163,0.006046572],"study_design_scores_gemma":[0.0002176036,0.00003855204,0.2778533,0.00003758818,0.00001863357,4.181042e-7,0.152494,0.000008332986,0.00004457926,0.03989715,0.5291362,0.000253561],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8749781,0.0003537657,0.00002548878,0.01066264,0.0212193,0.000143004,0.00001401481,0.00005478924,0.09254887],"genre_scores_gemma":[0.9882829,0.0002102132,0.0001067092,0.001218164,0.001716318,0.00006370262,0.00004680044,0.000007808991,0.00834745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.37082,"threshold_uncertainty_score":0.867972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1371476369067996,"score_gpt":0.4474744912610716,"score_spread":0.310326854354272,"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."}}