{"id":"W3124673016","doi":"10.20955/wp.2011.030","title":"Markov-Perfect Risk Sharing, Moral Hazard and Limited Commitment","year":2011,"lang":"en","type":"preprint","venue":"","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Moral hazard; Hazard; Markov chain; Computer science; Psychology; Economics; Microeconomics; Chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003440806,0.0005205994,0.0009423036,0.0005435744,0.0002197213,0.001365573,0.001982987,0.0005130648,0.002363222],"category_scores_gemma":[0.0006552777,0.0003750897,0.0003646178,0.0002045768,0.0002045614,0.0002070035,0.003897367,0.0009294532,0.0009235797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001128852,"about_ca_system_score_gemma":0.00008438088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005340453,"about_ca_topic_score_gemma":0.0003586981,"domain_scores_codex":[0.9957606,0.000189362,0.00125038,0.001588601,0.0007829175,0.0004281197],"domain_scores_gemma":[0.9958524,0.0006649429,0.0006001329,0.002323884,0.0002347513,0.0003239546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005963424,0.0001395274,0.1754388,0.000008430091,0.00006021831,0.00002783374,0.0003056801,0.0002010217,0.000004925704,0.0005378352,0.03985695,0.7833592],"study_design_scores_gemma":[0.0006707759,0.0002360546,0.1111979,0.0001241042,0.0001896318,0.00003087924,0.000294585,0.0195278,0.0001643006,0.8495232,0.0168655,0.00117518],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9368418,0.0003616854,0.0007399123,0.0001375453,0.002051417,0.0004274036,0.0001325348,0.0001916524,0.05911608],"genre_scores_gemma":[0.9858515,0.0004736185,0.009162789,0.0002125014,0.0001211803,0.00004246215,0.00002083349,0.00004541718,0.004069751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8489854,"threshold_uncertainty_score":0.9998701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2261427530412604,"score_gpt":0.3861291210650943,"score_spread":0.159986368023834,"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."}}