{"id":"W4405930747","doi":"10.1177/07439156241311300","title":"Generative AI Solutions to Empower Financial Firms","year":2024,"lang":"en","type":"article","venue":"Journal of Public Policy & Marketing","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Financial services; Value proposition; Finance; Deliverable; Generative grammar; Marketing; Business; Economics; Computer science; Management; Artificial intelligence","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":[0.005207649,0.0008018283,0.0002567082,0.001194527,0.0016271,0.005225747,0.001944608,0.002216681,0.009346265],"category_scores_gemma":[0.01297743,0.0003576359,0.0008363266,0.0009919816,0.004822121,0.005095552,0.007879282,0.002224155,0.001275376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001847826,"about_ca_system_score_gemma":0.002037548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008510919,"about_ca_topic_score_gemma":0.002029539,"domain_scores_codex":[0.9966289,0.002248153,0.0001211475,0.000241216,0.0004608184,0.0002995985],"domain_scores_gemma":[0.990216,0.007220939,0.0003952475,0.001253482,0.0004335748,0.0004808008],"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":[0.00009279814,0.0003385789,0.003253288,0.0006901541,0.00006964685,0.000559137,0.01415755,0.02624068,0.005011939,0.6896706,0.01389341,0.2460223],"study_design_scores_gemma":[0.00006851582,0.0001303988,0.0008545041,0.0003651019,0.00004810728,0.0003449954,0.005479238,0.05142511,0.003934818,0.7818823,0.1554165,0.00005028889],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05261659,0.001253462,0.778863,0.01454234,0.0003197738,0.0003770764,0.0001578765,0.003201939,0.148668],"genre_scores_gemma":[0.6658048,0.001224891,0.3143749,0.002170515,0.0001159815,0.0006391709,0.0003274131,0.0003165239,0.01502586],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009346265,"threshold_uncertainty_score":0.03126639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02943017484330908,"score_gpt":0.2850804319418251,"score_spread":0.2556502570985161,"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."}}