{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01476573,0.001092639,0.001877532,0.002606709,0.002595434,0.007283914,0.001292224,0.004724612,0.003701822],"category_scores_gemma":[0.0302096,0.0007238456,0.001354823,0.003519603,0.01212397,0.009155484,0.002522865,0.004360129,0.0003319846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005322157,"about_ca_system_score_gemma":0.004453246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002190976,"about_ca_topic_score_gemma":0.001393051,"domain_scores_codex":[0.981545,0.01215212,0.001024397,0.001132818,0.002836493,0.001309145],"domain_scores_gemma":[0.9559968,0.0365191,0.003444989,0.001690625,0.001708578,0.0006399882],"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":[0.000007912872,0.00001398566,0.0001289246,0.00005570421,0.00001507117,0.00002809828,0.00009330844,0.004710633,0.00003064037,0.9910823,0.0003591145,0.003474371],"study_design_scores_gemma":[0.00001159307,0.000008508388,0.00008751688,0.00003609256,0.00000666729,0.00001957851,0.00004205502,0.004243769,0.00003128879,0.9938977,0.001606956,0.000008254246],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09080115,0.03864057,0.6150202,0.03501951,0.0007695985,0.0002814456,0.0003029739,0.00009231101,0.2190722],"genre_scores_gemma":[0.9360868,0.01457647,0.04038359,0.0008002891,0.001153948,0.0002548205,0.00008128752,0.00002607319,0.006636734],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01476573,"threshold_uncertainty_score":0.07808954,"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."}}