{"id":"W4411431916","doi":"10.55677/gjefr/08-2025-vol02e4","title":"Boardroom AI: The Governance of AI-Assisted Corporate Decision-Making","year":2025,"lang":"en","type":"article","venue":"Global journal of economic and finance research.","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Catholic Historical Association","funders":"","keywords":"Corporate governance; Accountability; Transparency (behavior); Process (computing); Conversation; Flexibility (engineering); Business; Public relations; Political science; Computer science; Sociology; Economics; Management; Law","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":[0.02887836,0.0005034829,0.0005359529,0.002380283,0.003544453,0.01305272,0.001982524,0.003051455,0.007643664],"category_scores_gemma":[0.03928095,0.0005124997,0.0005443484,0.002973939,0.009242007,0.009409122,0.006548081,0.003300196,0.001450452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003774289,"about_ca_system_score_gemma":0.0119179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005076616,"about_ca_topic_score_gemma":0.004177937,"domain_scores_codex":[0.977644,0.01594246,0.0009730902,0.00196863,0.002273063,0.001198701],"domain_scores_gemma":[0.9626903,0.01871561,0.003541629,0.007993108,0.004237271,0.002822136],"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":[0.00005888897,0.00007689554,0.003534872,0.0001600618,0.000061038,0.00021193,0.004326957,0.01307394,0.001063863,0.8779605,0.009620115,0.08985085],"study_design_scores_gemma":[0.00003445785,0.00006062404,0.001535482,0.0002955351,0.00002661107,0.00008988973,0.00163785,0.02760105,0.0009490181,0.86413,0.1035871,0.00005236076],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02803164,0.002004392,0.7816983,0.02751015,0.0006148204,0.0006807525,0.0001875831,0.001273938,0.1579984],"genre_scores_gemma":[0.8472207,0.001468933,0.1272794,0.001762911,0.0005493794,0.0006815133,0.0002966305,0.0002934794,0.02044707],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02887836,"threshold_uncertainty_score":0.1527252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02483669574820725,"score_gpt":0.325872071662945,"score_spread":0.3010353759147378,"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."}}