{"id":"W7116084461","doi":"10.2139/ssrn.5938297","title":"Misaligned Agents","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"HEC Montréal; Queen's University","funders":"","keywords":"Incentive; Dimension (graph theory); Perspective (graphical); Prosocial behavior; Private information retrieval; Performance measurement; Information asymmetry","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":[0.001526871,0.0006754333,0.001047065,0.00050561,0.001054284,0.003401584,0.0009248102,0.002691933,0.02275671],"category_scores_gemma":[0.01224612,0.0006258028,0.000334614,0.0006158568,0.001617205,0.004165299,0.002695571,0.002547228,0.004268131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001122809,"about_ca_system_score_gemma":0.001115347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009215723,"about_ca_topic_score_gemma":0.0006170589,"domain_scores_codex":[0.9983888,0.0004483035,0.000086926,0.0004685449,0.0003646576,0.0002428613],"domain_scores_gemma":[0.9966267,0.0009813133,0.0004855783,0.0009294277,0.0005159581,0.0004610548],"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":[0.0003298127,0.00008286277,0.001723755,0.00006953525,0.00005238084,0.0003242953,0.0003164721,0.03109784,0.003377691,0.9327573,0.007547314,0.02232084],"study_design_scores_gemma":[0.0001347866,0.00018792,0.001394755,0.00003800657,0.00004444054,0.0003387792,0.0004324215,0.2113783,0.002743964,0.7605322,0.02271997,0.00005436081],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2818921,0.0008708114,0.4780666,0.0100715,0.001295264,0.000262978,0.0007485367,0.000840866,0.2259514],"genre_scores_gemma":[0.9366675,0.0002360191,0.02292423,0.0005918096,0.0001264986,0.0001095451,0.0001491529,0.00007782949,0.03911735],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02275671,"threshold_uncertainty_score":0.07612872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05241929075018149,"score_gpt":0.3856696607416569,"score_spread":0.3332503699914754,"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."}}