{"id":"W7160327588","doi":"10.1145/3789692.3789715","title":"Efficiency focused analytic review of NLP and Machine Learning Applications in Legal Reasoning and Ethical Business Decision-Making","year":2025,"lang":"","type":"article","venue":"","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transparency (behavior); Benchmarking; Normative; Corporate governance; Bridge (graph theory); Decision support system; Multinational corporation","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":[0.0531113,0.001212808,0.001595409,0.02264036,0.001575637,0.007630253,0.00283564,0.002045587,0.003469],"category_scores_gemma":[0.1381526,0.0009281986,0.002079254,0.02233427,0.004151112,0.008342616,0.003197455,0.003168175,0.0008540884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01169011,"about_ca_system_score_gemma":0.01688825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01064275,"about_ca_topic_score_gemma":0.0150653,"domain_scores_codex":[0.9497148,0.03315672,0.004970939,0.001423473,0.01005623,0.0006778407],"domain_scores_gemma":[0.6956812,0.24834,0.007469824,0.006877453,0.04067936,0.0009522204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00009418919,0.0001336484,0.002746997,0.04098539,0.0004701517,0.0002288532,0.002953534,0.005300249,0.0008683749,0.1018123,0.01846472,0.8259415],"study_design_scores_gemma":[0.00003471953,0.0002721556,0.0127834,0.1510314,0.00107531,0.0005843663,0.005219003,0.02337475,0.004234583,0.1089291,0.6922615,0.0001997952],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00579564,0.867039,0.08119189,0.02147777,0.0009313055,0.0004618374,0.0004382436,0.0001790059,0.02248541],"genre_scores_gemma":[0.1161124,0.778567,0.09622649,0.00361267,0.001310754,0.001010746,0.0007474829,0.0002169343,0.002195575],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0531113,"threshold_uncertainty_score":0.2808828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02204155073342534,"score_gpt":0.3852858758376549,"score_spread":0.3632443251042296,"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."}}