{"id":"W4396864461","doi":"10.1017/s0140525x23002881","title":"Regulator and agent sophistication as an explanation-generating engine for proxy failure dynamics","year":2024,"lang":"en","type":"article","venue":"Behavioral and Brain Sciences","topic":"Organizational Management and Leadership","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Sophistication; Regulator; Proxy (statistics); Dynamics (music); Computer science; Psychology; Biology; Machine learning; Sociology","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":[0.006265447,0.0005031991,0.0006966392,0.001457197,0.001033436,0.004776412,0.001295173,0.002332343,0.01083909],"category_scores_gemma":[0.03861851,0.00046361,0.0009049187,0.0007785469,0.003722825,0.006673972,0.003001064,0.002126968,0.0006961003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001490377,"about_ca_system_score_gemma":0.001293405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002390439,"about_ca_topic_score_gemma":0.001463425,"domain_scores_codex":[0.9976709,0.001298956,0.0000936946,0.0003296836,0.0003505062,0.0002561411],"domain_scores_gemma":[0.9748309,0.01832122,0.003113795,0.001932002,0.0008768148,0.0009253198],"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":[0.0001107187,0.00006561827,0.01668569,0.0000659577,0.00009479965,0.0004894582,0.00184782,0.07713278,0.001549566,0.8891118,0.001274358,0.01157143],"study_design_scores_gemma":[0.00004277653,0.00005459329,0.004474554,0.00003422067,0.00004342572,0.0001783136,0.0006299583,0.3921196,0.0006039974,0.5986885,0.003065713,0.00006439782],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3829003,0.000438364,0.5225152,0.01314356,0.0001220871,0.0001213037,0.0003156436,0.0006288192,0.0798147],"genre_scores_gemma":[0.9871471,0.00007057526,0.01086941,0.0001256267,0.00003172212,0.00002944552,0.00003292833,0.00003119138,0.001661985],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01083909,"threshold_uncertainty_score":0.03626043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04698407927439217,"score_gpt":0.2938976343886882,"score_spread":0.246913555114296,"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."}}