{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1529684,0.001189492,0.002964703,0.004194059,0.001287063,0.003683302,0.006655797,0.005091317,0.005127226],"category_scores_gemma":[0.4687793,0.00102205,0.00365257,0.002775321,0.007648573,0.006820779,0.004651817,0.004752014,0.0003599515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002291288,"about_ca_system_score_gemma":0.002837219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001561546,"about_ca_topic_score_gemma":0.0006215936,"domain_scores_codex":[0.839329,0.1215255,0.007066422,0.01236987,0.01716268,0.002546597],"domain_scores_gemma":[0.3336833,0.6044985,0.02838596,0.02464581,0.007543839,0.001242548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002019671,0.0007615465,0.117015,0.0009609137,0.002326065,0.0007657862,0.002440118,0.08708582,0.002386903,0.630034,0.001361058,0.1528431],"study_design_scores_gemma":[0.001114968,0.002450582,0.02223187,0.0003256756,0.0004462999,0.0004157175,0.0007486383,0.4119362,0.004148357,0.5534797,0.002530676,0.0001712809],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1477216,0.0003131728,0.8457823,0.00104816,0.00008399153,0.0006085315,0.0005075949,0.0002419017,0.00369261],"genre_scores_gemma":[0.8418059,0.0001392968,0.1544897,0.0005815293,0.00009064253,0.001692689,0.0005944564,0.00003157862,0.0005742628],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1529684,"threshold_uncertainty_score":0.8089837,"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."}}