{"id":"W4247574773","doi":"10.2139/ssrn.2804244","title":"Testing Identifying Assumptions in Regression Discontinuity Designs","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Regression discontinuity design; Regression; Statistics; Econometrics; Computer science; 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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2159532,0.002057311,0.004032518,0.002266232,0.001656704,0.005163676,0.007873309,0.006771919,0.01301035],"category_scores_gemma":[0.636437,0.001719042,0.004951732,0.002316676,0.006877378,0.008991979,0.005384021,0.008670463,0.001011181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00189999,"about_ca_system_score_gemma":0.004495833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001377245,"about_ca_topic_score_gemma":0.000725669,"domain_scores_codex":[0.712622,0.2413024,0.01019437,0.02002341,0.01236305,0.003494822],"domain_scores_gemma":[0.06885304,0.898632,0.01437555,0.01506507,0.002425147,0.0006492163],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.01249786,0.003020016,0.1393219,0.003528297,0.009714355,0.002825788,0.007282206,0.06654557,0.00215444,0.5651309,0.004680845,0.1832977],"study_design_scores_gemma":[0.004544933,0.006757963,0.03141525,0.001234876,0.003326723,0.001242127,0.003479614,0.3183171,0.004575943,0.6190413,0.005877325,0.0001868678],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2355465,0.001120759,0.7503569,0.002674444,0.0003347373,0.001107423,0.0007856659,0.0004660537,0.007607553],"genre_scores_gemma":[0.8668171,0.0004583197,0.1267087,0.0007859196,0.0001800387,0.002052902,0.001028826,0.0001264574,0.001841847],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7840468,"threshold_uncertainty_score":0.9668694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2186047053775833,"score_gpt":0.4513371803851206,"score_spread":0.2327324750075373,"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."}}