{"id":"W4388535687","doi":"10.3982/te4916","title":"Robust contracting under double moral hazard","year":2023,"lang":"en","type":"article","venue":"Theoretical Economics","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Science Foundation","keywords":"Moral hazard; Principal (computer security); Microeconomics; Liability; Limited liability; Risk neutral; Constant (computer programming); Production (economics); Economics; Risk aversion (psychology); Mathematical economics; Business; Computer science; Expected utility hypothesis; Incentive; Finance; Computer security","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":["insufficient_payload"],"category_scores_codex":[0.001985108,0.0001015531,0.0001979028,0.0001075553,0.0002114025,0.0002110155,0.0004507531,0.0000828726,0.00242803],"category_scores_gemma":[0.000227914,0.00008488028,0.00009627209,0.0003490241,0.0005710536,0.0002049883,0.0001017059,0.0001492535,0.007899009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003515407,"about_ca_system_score_gemma":0.00003512611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.644068e-7,"about_ca_topic_score_gemma":0.000002795798,"domain_scores_codex":[0.9987967,0.00005926274,0.0004369022,0.0003136586,0.0001299768,0.0002634922],"domain_scores_gemma":[0.9979686,0.001288781,0.0000888494,0.0004561303,0.0000566294,0.0001410207],"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":[0.00002914401,0.00001044746,0.0000756192,4.478612e-7,0.000007074666,5.357334e-7,0.00004950817,0.02620308,0.00003087454,0.9678375,0.001497915,0.004257887],"study_design_scores_gemma":[0.0002646259,0.00000969019,0.0005698979,0.000001264771,0.000005673658,0.000005852477,0.000780414,0.0348579,0.0005599858,0.958652,0.004182395,0.0001103055],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8376795,0.000007250169,0.02133453,0.006292888,0.0004502007,0.0001495098,0.00002058272,0.000273526,0.133792],"genre_scores_gemma":[0.9976308,0.00001852252,0.0004109823,0.0004292682,0.0001652104,0.00001994655,0.000005880552,0.00001542757,0.001303949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1599513,"threshold_uncertainty_score":0.9984839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1972143352121489,"score_gpt":0.3668936448631541,"score_spread":0.1696793096510052,"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."}}