{"id":"W2201269917","doi":"10.1111/iere.12212","title":"INFORMATION, RISK SHARING, AND INCENTIVES IN AGENCY PROBLEMS","year":2017,"lang":"en","type":"article","venue":"International Economic Review","topic":"Law, Economics, and Judicial Systems","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Outcome (game theory); Incentive; Principal (computer security); Agency (philosophy); Microeconomics; Ranking (information retrieval); Principal–agent problem; Contractible space; Order (exchange); Perfect information; Moral hazard; Risk neutral; Information asymmetry; Information sharing; Economics; Imperfect; Actuarial science; Business; Risk analysis (engineering); Computer science; Finance; Computer security; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001122049,0.0001201589,0.0004728612,0.0001415505,0.0001507148,0.0003595359,0.0006701024,0.0000599397,0.0007083424],"category_scores_gemma":[0.0002509245,0.0001638246,0.00009758853,0.00001546805,0.0001077032,0.001833981,0.000208185,0.0001124289,0.001805967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002348394,"about_ca_system_score_gemma":0.00002031824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003136953,"about_ca_topic_score_gemma":0.0003801681,"domain_scores_codex":[0.9983212,0.0000102797,0.001193047,0.0002825801,0.00001941919,0.0001734914],"domain_scores_gemma":[0.9979833,0.00001837031,0.001482133,0.0004315623,0.0000217166,0.00006285885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003211521,0.00001505689,0.6647283,0.0002095794,0.00005717952,5.196707e-7,0.0002645318,0.00002542035,9.277425e-8,0.326147,0.001048805,0.007500323],"study_design_scores_gemma":[0.0007828919,0.00001873604,0.2931406,0.0008312698,0.000007303577,0.000007545997,0.00001964632,0.003342228,0.0000011692,0.2092462,0.4922433,0.0003590896],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3241212,0.04870641,0.0002908616,0.004161288,0.004028857,0.001221449,0.0005448422,0.00004219851,0.6168829],"genre_scores_gemma":[0.8386605,0.1601828,0.00004680406,0.0004057753,0.0001927097,0.0000729961,0.0000295761,0.00001162396,0.0003972864],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6164856,"threshold_uncertainty_score":0.9989712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03438700286925761,"score_gpt":0.259549319091828,"score_spread":0.2251623162225704,"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."}}