{"id":"W3122218979","doi":"10.3982/qe1367","title":"Testing identifying assumptions in fuzzy regression discontinuity designs","year":2022,"lang":"en","type":"article","venue":"Quantitative Economics","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Japan Society for the Promotion of Science; Economic and Social Research Council; Ministry of Science and Technology, Taiwan; Waseda University; Academia Sinica","keywords":"Covariate; Econometrics; Regression discontinuity design; Mathematics; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003518348,0.0001127548,0.0001566046,0.00001966071,0.0006086354,0.00005996501,0.0002519687,0.00002966972,0.0001717948],"category_scores_gemma":[0.0001144799,0.00004441896,0.00006047895,0.0003411684,0.00005135706,0.0002556421,0.0001938757,0.0002067427,0.00003259168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001159012,"about_ca_system_score_gemma":0.00001056886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003694268,"about_ca_topic_score_gemma":0.001549027,"domain_scores_codex":[0.9989826,0.0001550263,0.0002477036,0.0002990123,0.00007577651,0.0002398793],"domain_scores_gemma":[0.9992338,0.0004923955,0.0001568569,0.00003858903,0.00002622315,0.00005209605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007552742,0.0002960301,0.6424225,0.00000976194,0.00001766107,0.0000224581,0.001824537,0.006196721,0.2573261,0.02002522,0.0006517222,0.07113181],"study_design_scores_gemma":[0.0001015003,0.0001765436,0.9849722,0.00001885722,0.000004189372,0.000007426017,0.007619209,0.0009857781,0.0004927921,0.004337038,0.00108163,0.0002028344],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978725,0.0001751223,0.000009817963,0.0003727219,0.0001657588,0.0001713555,0.00004539691,0.00003438339,0.001152977],"genre_scores_gemma":[0.9982518,0.00003844958,0.00123607,0.0000509485,0.00004775222,0.00004360795,0.00003758446,8.578947e-7,0.0002929493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3425497,"threshold_uncertainty_score":0.4681193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1345111805816865,"score_gpt":0.3035845987069067,"score_spread":0.1690734181252202,"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."}}