{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000958912,0.0002066381,0.000427046,0.001162586,0.001133154,0.001848007,0.0004330165,0.0004863129,0.007800735],"category_scores_gemma":[0.002755917,0.0001712207,0.000272969,0.002795374,0.001444442,0.00105489,0.00135375,0.000862967,0.0007296934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001071231,"about_ca_system_score_gemma":0.0009394761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02883904,"about_ca_topic_score_gemma":0.04532452,"domain_scores_codex":[0.9995277,0.0001478218,0.00003518227,0.00005633221,0.00007262272,0.0001604325],"domain_scores_gemma":[0.9945185,0.002267121,0.002155584,0.0002471514,0.0003412434,0.0004704719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009493047,0.001151979,0.9639935,0.0001960623,0.0002319147,0.001101814,0.004941142,0.000454871,0.0004313752,0.005717592,0.0009418121,0.01988862],"study_design_scores_gemma":[0.00005041403,0.0001651341,0.9747215,0.0001414862,0.0003307808,0.0002135073,0.01884871,0.0004490607,0.0006217657,0.001410412,0.003030572,0.00001663104],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900364,0.0004222569,0.0000522381,0.0003176039,0.000004885259,0.000005642065,0.0001730567,0.000001445708,0.008986482],"genre_scores_gemma":[0.9987098,0.0003532187,0.00002284294,0.00003998846,0.000004951943,0.000002893855,0.0001457985,0.000001097928,0.0007194526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02883904,"threshold_uncertainty_score":0.05734235,"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."}}