{"id":"W4408886485","doi":"10.3982/ecta21871","title":"Feedback Design in Dynamic Moral Hazard","year":2025,"lang":"en","type":"article","venue":"Econometrica","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"National Science Foundation","keywords":"Moral hazard; Economics; Mathematical economics; Actuarial science; Econometrics; Control theory (sociology); Microeconomics; Incentive; Management","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":[0.01037455,0.001899408,0.001833987,0.0008515218,0.0008047375,0.001982013,0.002214066,0.003011872,0.006733595],"category_scores_gemma":[0.03471641,0.001245027,0.0009767457,0.0004894644,0.003110224,0.003100437,0.002542625,0.002780965,0.0006647995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002264995,"about_ca_system_score_gemma":0.002283577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00134034,"about_ca_topic_score_gemma":0.0006628146,"domain_scores_codex":[0.9929645,0.004464825,0.0002403773,0.0008451263,0.0006769152,0.0008082076],"domain_scores_gemma":[0.9685451,0.02377146,0.003413304,0.00125332,0.001439831,0.001576979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001170931,0.0005722883,0.001770496,0.0004942381,0.0001624028,0.0004704676,0.0007436142,0.5360987,0.006883341,0.416117,0.001463376,0.03405306],"study_design_scores_gemma":[0.0004795825,0.0005352956,0.0004711628,0.00004748365,0.00004170722,0.00006916807,0.00009651531,0.702527,0.00126398,0.2928381,0.001560148,0.00006984431],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08900829,0.0004003091,0.8990707,0.001382542,0.0001439154,0.0003346657,0.0001114366,0.000279621,0.009268554],"genre_scores_gemma":[0.9492813,0.0001864005,0.04451872,0.0002095732,0.00006115719,0.0003949872,0.00003392431,0.00004282313,0.005271182],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01037455,"threshold_uncertainty_score":0.05486655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1245915472768055,"score_gpt":0.3862326406229855,"score_spread":0.26164109334618,"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."}}