{"id":"W4407021829","doi":"10.2139/ssrn.5050951","title":"Generative AI Solutions to Empower Financial Firms","year":2025,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Generative grammar; Business; Finance; Artificial intelligence; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007408586,0.0002140366,0.0002096733,0.0004612095,0.0006118662,0.0004930859,0.0004036561,0.00008733445,0.00006368927],"category_scores_gemma":[0.0004089992,0.0002044374,0.0001425823,0.001022217,0.0000484688,0.001155261,0.0002191204,0.001233882,0.0004931951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007126298,"about_ca_system_score_gemma":0.001169232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001254922,"about_ca_topic_score_gemma":0.00216602,"domain_scores_codex":[0.9970464,0.000008575578,0.0003214146,0.000288106,0.0002159143,0.002119569],"domain_scores_gemma":[0.9994135,0.00001820033,0.0001397572,0.0001715304,0.0002392949,0.00001763948],"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":[0.00004603757,0.00006671971,0.001775498,0.00001047067,0.00004377064,0.000005335198,0.00001996084,0.0001024309,0.0003675524,0.940505,0.04405967,0.01299751],"study_design_scores_gemma":[0.0005564905,0.00006214703,0.003800729,0.00009598053,0.00004190149,0.00002626662,0.0001765544,0.0003950244,0.0001304532,0.630078,0.3642865,0.0003499367],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3670452,0.002942619,0.4704341,0.05131684,0.003945483,0.0008509315,0.00001134965,0.0003723627,0.1030812],"genre_scores_gemma":[0.9781058,0.00008186374,0.0001028248,0.007513594,0.001224355,0.00002023121,0.000006545795,0.0000243777,0.01292044],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6110606,"threshold_uncertainty_score":0.8336716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008718165317811662,"score_gpt":0.2389595587288606,"score_spread":0.230241393411049,"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."}}