{"id":"W3122974153","doi":"10.1506/0pjg-futb-kj5p-2fx0","title":"Monitoring in Multiagent Organizations*","year":2002,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Compensation (psychology); Principal (computer security); SIGNAL (programming language); Perspective (graphical); Computer science; Order (exchange); Operations research; Artificial intelligence; Business; Computer security; Engineering; Psychology; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.007790321,0.00009105001,0.0001546952,0.0007557019,0.0006090046,0.0004246296,0.0009014845,0.00007585314,0.001770126],"category_scores_gemma":[0.008652708,0.00007918147,0.00003544144,0.004922999,0.0001673598,0.0008028509,0.0002577247,0.0004541071,0.003959686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006574702,"about_ca_system_score_gemma":0.00006429691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004889551,"about_ca_topic_score_gemma":0.000004486519,"domain_scores_codex":[0.996752,0.0004743107,0.0005839427,0.00048196,0.001376306,0.0003314375],"domain_scores_gemma":[0.996187,0.001963185,0.000110472,0.0006656084,0.0009821262,0.00009155963],"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":[0.00001808119,0.0003263904,0.8807428,0.000007930789,0.000008677654,0.00002412915,0.00325338,0.0002300178,0.004743314,0.008292739,0.04848163,0.05387086],"study_design_scores_gemma":[0.002116723,0.00009572563,0.2703879,0.0002587312,0.000003078919,0.00002538706,0.02537357,0.02715624,0.01871633,0.08279663,0.5721977,0.0008719772],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.925197,0.001457931,0.001775515,0.005370706,0.0003660804,0.0005460089,0.000006208779,0.0001177475,0.06516282],"genre_scores_gemma":[0.9876913,0.00003070575,0.0002464888,0.00003898842,0.0002486393,0.00004768358,0.000001638293,0.00001518278,0.01167933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6103549,"threshold_uncertainty_score":0.9996978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3633783204673735,"score_gpt":0.4751584203510976,"score_spread":0.1117800998837241,"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."}}