{"id":"W2132557528","doi":"10.3386/w13039","title":"Regression Discontinuity Designs: A Guide to Practice","year":2007,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":888,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; National Science Foundation","keywords":"Regression discontinuity design; Discontinuity (linguistics); Regression; Computer science; Econometrics; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.09030104,0.002758994,0.004278574,0.005766373,0.001278387,0.00638596,0.007361208,0.007150094,0.02131987],"category_scores_gemma":[0.1731178,0.003018493,0.00337223,0.007005304,0.003942677,0.003725791,0.003717046,0.01079674,0.01103767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002669733,"about_ca_system_score_gemma":0.008812854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004150753,"about_ca_topic_score_gemma":0.005103311,"domain_scores_codex":[0.909315,0.07429093,0.005018477,0.002735717,0.008197663,0.0004423238],"domain_scores_gemma":[0.8346459,0.1426892,0.003602442,0.008811633,0.009305669,0.0009451432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002888841,0.0004259888,0.001481437,0.006675344,0.0007014074,0.0005027069,0.002331723,0.01660748,0.0009840616,0.3730246,0.1760256,0.4209507],"study_design_scores_gemma":[0.000566496,0.0003901676,0.0009278332,0.005714095,0.0002432385,0.0005597613,0.0005352041,0.02829406,0.001143884,0.5018719,0.4595134,0.0002400545],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0003219549,0.008900467,0.9714057,0.003726405,0.0008750232,0.00293971,0.001749521,0.001617827,0.008463297],"genre_scores_gemma":[0.003852276,0.007582771,0.9758968,0.001220044,0.0003550916,0.007732264,0.0006187738,0.0005801179,0.002161747],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.09030104,"threshold_uncertainty_score":0.4775633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7507059545647676,"score_gpt":0.6941272470872978,"score_spread":0.05657870747746985,"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."}}