{"id":"W7078794010","doi":"","title":"The Association Between Fairness and Judicial Decision-Making: Evidence from Tax Law","year":2025,"lang":"en","type":"article","venue":"UF Law Scholarship Repository (University of Florida)","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Taxpayer; Normative; Outcome (game theory); Sample (material); Dimension (graph theory); Tax law; Affect (linguistics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02352259,0.0001784046,0.0004969555,0.002563905,0.001919748,0.00224148,0.001004571,0.001246354,0.004091814],"category_scores_gemma":[0.2163478,0.0002820647,0.0003465964,0.003017066,0.004864997,0.001777398,0.001663847,0.00155276,0.0003369618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001812942,"about_ca_system_score_gemma":0.002202916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01446061,"about_ca_topic_score_gemma":0.01844313,"domain_scores_codex":[0.9768919,0.01301561,0.001267471,0.001874346,0.005703672,0.001246948],"domain_scores_gemma":[0.5959594,0.3027833,0.07407856,0.009795311,0.01372037,0.003663061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007392601,0.0005464596,0.9216844,0.0003194947,0.0004262885,0.0002922279,0.007737901,0.001253583,0.0001724286,0.01477139,0.001711111,0.05034553],"study_design_scores_gemma":[0.0001060496,0.0002443769,0.9665418,0.0003151476,0.0001651151,0.0003235792,0.003621529,0.002404971,0.0004229038,0.02079383,0.005012999,0.00004764429],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9761729,0.002859356,0.001395818,0.002171852,0.00002829668,0.00003140867,0.0001168303,0.000005322948,0.01721812],"genre_scores_gemma":[0.9988888,0.0005402974,0.0001677415,0.0001547881,0.00003340999,0.000006180986,0.00003654844,0.000003453678,0.0001686909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02352259,"threshold_uncertainty_score":0.1244008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01356179753130829,"score_gpt":0.2276208074235786,"score_spread":0.2140590098922703,"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."}}