{"id":"W1965070237","doi":"10.1016/j.jeconom.2007.05.008","title":"Special issue editors’ introduction: The regression discontinuity design—Theory and applications","year":2007,"lang":"en","type":"article","venue":"Journal of Econometrics","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":79,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Blood pressure; Body mass index; Regression discontinuity design; Medicine; Gerontology; Demographic economics; Internal medicine; 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":[0.01408985,0.001922656,0.002307986,0.002952777,0.0007708043,0.003524738,0.003091952,0.006709047,0.01904794],"category_scores_gemma":[0.09539715,0.001074155,0.001592982,0.002239109,0.001429393,0.002419605,0.00117998,0.008012179,0.008166404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007909434,"about_ca_system_score_gemma":0.0013327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007800244,"about_ca_topic_score_gemma":0.001213092,"domain_scores_codex":[0.9931313,0.003242851,0.001005954,0.0009005895,0.00154578,0.0001733805],"domain_scores_gemma":[0.9380208,0.04207244,0.003032512,0.002351062,0.01349453,0.001028787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005457554,0.00003531659,0.0003049931,0.0005536593,0.00005220967,0.0001075966,0.0000372775,0.0004310696,0.0001463502,0.006041091,0.9426528,0.049583],"study_design_scores_gemma":[0.000182018,0.0001480093,0.001836617,0.0008886995,0.0001994729,0.0008180551,0.00008478396,0.005725929,0.0007604071,0.02603555,0.963198,0.0001225053],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.000487875,0.01934806,0.04887907,0.09504228,0.8306319,0.0001483908,0.000735733,0.0005041744,0.004222563],"genre_scores_gemma":[0.007426311,0.01791762,0.0292647,0.0462149,0.873865,0.0005224257,0.0006131698,0.0005617932,0.02361395],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.01904794,"threshold_uncertainty_score":0.07451516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2141599057884112,"score_gpt":0.3932931973514101,"score_spread":0.1791332915629989,"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."}}