{"id":"W3088173592","doi":"10.3982/ecta16475","title":"Optimal Monitoring Design","year":2020,"lang":"en","type":"article","venue":"Econometrica","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Principal (computer security); Marginal cost; Wage; Constant (computer programming); Action (physics); Computer science; Principal–agent problem; Economics; Microeconomics; Econometrics; Labour economics; Computer security; Finance","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":[0.0006785353,0.00005513645,0.0001154816,0.0002213366,0.0001299298,0.0001338431,0.0004517782,0.00002598615,0.002170265],"category_scores_gemma":[0.001905239,0.00004679865,0.00005654984,0.002190829,0.00003208189,0.0002175332,0.00006328629,0.00006978014,0.006840173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001473484,"about_ca_system_score_gemma":0.0000177629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.542406e-7,"about_ca_topic_score_gemma":6.328947e-9,"domain_scores_codex":[0.9991019,0.00005717746,0.0002734072,0.0002794616,0.0001778771,0.0001101672],"domain_scores_gemma":[0.9985291,0.0009403134,0.0001026047,0.0002209201,0.0000486211,0.0001584752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001387371,0.0002024024,0.03232463,0.000004517505,0.00008138584,0.00001047972,0.003405391,0.125422,0.001464208,0.0627462,0.1329897,0.6412104],"study_design_scores_gemma":[0.0004504636,0.000217756,0.01863203,0.000002078225,0.00001243202,0.00000629945,0.002162217,0.01705005,0.01741545,0.03431255,0.9093332,0.0004054336],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06135066,0.0001658362,0.9091908,0.007268892,0.0002542483,0.0001503862,0.00000702485,0.0001063167,0.02150588],"genre_scores_gemma":[0.9824566,0.000006484494,0.01608437,0.0002033208,0.0002921718,0.00001576802,3.011147e-7,0.000004927478,0.0009360507],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9211059,"threshold_uncertainty_score":0.9987419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4034542329082602,"score_gpt":0.4011313418998175,"score_spread":0.002322891008442685,"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."}}