{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.02445607,0.0003337458,0.0007965141,0.001347893,0.0001314643,0.00007266113,0.0008627385,0.0006257439,0.0004412702],"category_scores_gemma":[0.06483965,0.0003031183,0.0001837189,0.0003301679,0.0002334309,0.0004412656,0.000522326,0.001303376,0.0001690454],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004997009,"about_ca_system_score_gemma":0.00478812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008760396,"about_ca_topic_score_gemma":0.0003015001,"domain_scores_codex":[0.9936811,0.0004024412,0.001435754,0.0007354275,0.003119947,0.0006252917],"domain_scores_gemma":[0.9806991,0.01071965,0.0008849268,0.0007478274,0.006725609,0.0002228638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001188849,0.0001329405,0.00002947833,0.0001864643,0.00009513156,0.00001631859,0.00007748792,0.00001069608,0.0004451977,0.4108363,0.5822608,0.005790293],"study_design_scores_gemma":[0.0001373151,0.0001624188,0.00001493664,0.0006222129,0.00002027394,0.00004268993,0.0001034387,0.0000160697,0.004538856,0.7317032,0.2623844,0.0002541874],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.0001663278,0.0002833837,0.01216034,0.001094357,0.0003606461,0.001642371,0.00009442776,0.0001202532,0.9840779],"genre_scores_gemma":[0.0369756,0.002913467,0.7851505,0.0002316828,0.003513223,0.001009534,0.0004886449,0.0003892405,0.1693282],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8147497,"threshold_uncertainty_score":0.9999421,"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."}}