{"id":"W2909615567","doi":"10.1111/obes.12292","title":"Heterogeneous Treatment Under Regression Discontinuity Design: Application to Female High School Enrolment","year":2019,"lang":"en","type":"article","venue":"Oxford Bulletin of Economics and Statistics","topic":"Electoral Systems and Political Participation","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Regression discontinuity design; Islam; Demographic economics; Adversary; Educational attainment; Econometrics; Demography; Political science; Economics; Statistics; Sociology; Geography; Economic growth; Mathematics","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":[0.08802254,0.001456813,0.00505285,0.002999786,0.002309292,0.002969911,0.008474042,0.005820608,0.02214025],"category_scores_gemma":[0.1691353,0.0009264669,0.005353568,0.003672682,0.003746218,0.002088485,0.004271728,0.006531055,0.001391712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002868399,"about_ca_system_score_gemma":0.001970942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009380428,"about_ca_topic_score_gemma":0.003473954,"domain_scores_codex":[0.885378,0.1019492,0.001734401,0.005519832,0.002598888,0.002819598],"domain_scores_gemma":[0.8313286,0.1341615,0.01311296,0.01602542,0.004043909,0.001327686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.01474132,0.005439636,0.2282792,0.002768733,0.01044072,0.003884813,0.005307808,0.1351663,0.002103408,0.3765279,0.0158822,0.199458],"study_design_scores_gemma":[0.003207799,0.004355502,0.05315796,0.0005135799,0.002559779,0.0003853497,0.002251725,0.7564086,0.002708853,0.1615406,0.01260115,0.0003091421],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2521032,0.001952402,0.7281988,0.002986619,0.001006874,0.004257989,0.002570844,0.001200929,0.005722362],"genre_scores_gemma":[0.8652479,0.0003491905,0.1185022,0.0007729492,0.0003444543,0.006035848,0.001123634,0.0001294102,0.007494407],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08802254,"threshold_uncertainty_score":0.4655133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03057829746420822,"score_gpt":0.3007401506676352,"score_spread":0.2701618532034269,"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."}}