{"id":"W4407837267","doi":"10.1016/j.irfa.2025.104022","title":"Fear of fairness in courts: The impact of liberal judge ideology on corporate carbon emissions","year":2025,"lang":"en","type":"article","venue":"International Review of Financial Analysis","topic":"Regulation and Compliance Studies","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada; Memorial University of Newfoundland; St Mary's University","keywords":"Ideology; Greenhouse gas; Economics; Law and economics; Political science; Business; Public economics; Law; Politics","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.000290172,0.00008648144,0.0004434026,0.0003857335,0.0000238563,0.000006503128,0.0002526693,0.00002450628,0.0001025983],"category_scores_gemma":[0.0005761634,0.0000553416,0.0002851285,0.00176545,0.00007852269,0.00007150366,0.00008247862,0.0000578278,0.00000210921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002913341,"about_ca_system_score_gemma":0.00006265707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001086365,"about_ca_topic_score_gemma":0.000161514,"domain_scores_codex":[0.9990971,0.00001861207,0.0005066952,0.0001158887,0.0001920553,0.00006963238],"domain_scores_gemma":[0.9984943,0.00004865386,0.0006715417,0.0001512908,0.0006310283,0.00000318266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001040101,0.0002147097,0.8648472,0.0008961732,0.0007930071,0.000002185807,0.00002844302,0.003398295,0.0001013477,0.110711,0.007128399,0.01177516],"study_design_scores_gemma":[0.0001593702,0.000008737677,0.9848317,0.001415834,0.0002426485,6.780347e-8,0.000008404716,0.004576649,0.00002130892,0.007134301,0.001549363,0.00005161522],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9536301,0.004525563,0.0003079235,0.005172099,0.0003354516,0.0002925577,0.0000195241,0.000008839833,0.03570787],"genre_scores_gemma":[0.997806,0.001255362,0.0000130708,0.0004718129,0.00006472618,0.00001135415,0.00001980409,0.000002341871,0.0003555195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1199844,"threshold_uncertainty_score":0.2256765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02161587154473713,"score_gpt":0.310810346205472,"score_spread":0.2891944746607349,"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."}}