{"id":"W2951181605","doi":"10.2139/ssrn.3001672","title":"Ethnic Segregation and Public Goods: Evidence from Indonesia","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Culture, Economy, and Development Studies","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Ethnic group; Public good; Political science; Development economics; Economics; Law; Neoclassical 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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001910823,0.0001004058,0.0001475926,0.00004448941,0.003024815,0.0005167069,0.0003719578,0.00008330443,0.00003540772],"category_scores_gemma":[0.0005868022,0.00008714014,0.00004624847,0.00005821336,0.0002420228,0.001195976,0.00007226045,0.0006430338,0.00002276903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005195558,"about_ca_system_score_gemma":0.001673746,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00281224,"about_ca_topic_score_gemma":0.09755374,"domain_scores_codex":[0.9981515,0.000107961,0.0001780786,0.0001849847,0.0002297139,0.00114781],"domain_scores_gemma":[0.9992887,0.00009855247,0.0002773258,0.0001413292,0.00008735754,0.0001066962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002049512,0.00002623697,0.6854664,0.000002907984,0.0001989022,0.000002475139,0.01173122,2.547142e-7,0.00004451587,0.1736096,0.0004816187,0.1284153],"study_design_scores_gemma":[0.0004990194,0.00005881906,0.5655419,0.00006525889,0.00003424571,0.00001709296,0.036516,0.000005389823,0.00001685226,0.3886527,0.00833312,0.0002596603],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9601677,0.01885506,0.0004637329,0.01367295,0.0003260481,0.0001251494,0.000001118819,0.00003099267,0.006357238],"genre_scores_gemma":[0.9386629,0.05960258,0.00007071787,0.00008361211,0.0004415349,0.000005121057,9.493201e-7,0.000005594153,0.001126936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.215043,"threshold_uncertainty_score":0.9982731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07366874927616551,"score_gpt":0.3384600416528341,"score_spread":0.2647912923766686,"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."}}