{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.02543634,0.0008514015,0.001167299,0.0009496274,0.001729351,0.001186951,0.005620768,0.0007510599,0.002616506],"category_scores_gemma":[0.001781726,0.000737404,0.001283468,0.001634254,0.0004032103,0.0003598619,0.001512727,0.01154377,0.002864492],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002439008,"about_ca_system_score_gemma":0.02456824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006263144,"about_ca_topic_score_gemma":0.0003056261,"domain_scores_codex":[0.9854628,0.001584207,0.002619978,0.001626075,0.002295475,0.006411478],"domain_scores_gemma":[0.9930701,0.001356501,0.001907733,0.002176423,0.001011156,0.0004781098],"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":[0.0001752361,0.0003381474,0.0002237224,0.00001565319,0.0006466195,0.000006168719,0.0006363849,0.0008712916,0.000114622,0.8018526,0.002213353,0.1929062],"study_design_scores_gemma":[0.0007662128,0.0001792183,0.0002468433,0.00017515,0.0002715075,0.000341606,0.005221109,0.0008144001,0.0001484228,0.9067013,0.08455113,0.0005831404],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2166949,0.02349744,0.4936144,0.02771747,0.01083987,0.003092876,0.0003325707,0.0002519118,0.2239585],"genre_scores_gemma":[0.7802234,0.02015806,0.0002705008,0.0005711842,0.0008353107,0.00005683434,0.0000147635,0.00003444301,0.1978355],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5635285,"threshold_uncertainty_score":0.9998499,"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."}}