{"id":"W4408424158","doi":"10.2139/ssrn.5178735","title":"Judge Ideology and CEO Compensation","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Corporate Governance and Law","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Ideology; Compensation (psychology); Business; Executive compensation; Law and economics; Political science; Economics; Psychology; Social psychology; Law; Politics","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":[0.002824029,0.0001185739,0.0002771174,0.001155842,0.001741643,0.002989194,0.000255092,0.001452502,0.02028171],"category_scores_gemma":[0.0254112,0.0001273001,0.0001261351,0.0006253538,0.001028048,0.0007668333,0.001019476,0.001589734,0.00147345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001012527,"about_ca_system_score_gemma":0.0009656174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001427146,"about_ca_topic_score_gemma":0.003295021,"domain_scores_codex":[0.998066,0.0007295355,0.00005535717,0.0001214395,0.0004330078,0.0005947683],"domain_scores_gemma":[0.9793574,0.01345431,0.003502396,0.00043467,0.001288688,0.001962609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002357839,0.001249009,0.5012729,0.0001253057,0.000158883,0.001399139,0.008299612,0.001697412,0.002379848,0.3776155,0.02556163,0.07788293],"study_design_scores_gemma":[0.0004309998,0.0005989214,0.7329953,0.0001694719,0.0001392212,0.0008005315,0.01501181,0.003284287,0.001765213,0.2031875,0.04154498,0.00007180518],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7840964,0.001233184,0.0007589817,0.007357274,0.0001594668,0.00001795149,0.00009790804,0.00001098835,0.2062679],"genre_scores_gemma":[0.9921746,0.0001095241,0.00005321921,0.0002578165,0.00006701688,0.000003731728,0.00002096118,0.00000444735,0.007308677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02028171,"threshold_uncertainty_score":0.06784904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01151282310691569,"score_gpt":0.2221551812603555,"score_spread":0.2106423581534398,"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."}}