{"id":"W4408687610","doi":"10.69554/vssv1183","title":"Artificial intelligence ethics in financial services","year":2025,"lang":"en","type":"article","venue":"Journal of digital banking.","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Business; Financial services; Finance","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":[0.0008502793,0.0001136648,0.0003605126,0.000562813,0.00006254112,0.0001973646,0.0003598784,0.0001301476,0.00003404289],"category_scores_gemma":[0.0003532192,0.0001238371,0.0001452654,0.0005690512,0.0000433709,0.0006453131,0.00007434966,0.0004910766,0.00009364985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009934149,"about_ca_system_score_gemma":0.00008031516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002973308,"about_ca_topic_score_gemma":0.00005978184,"domain_scores_codex":[0.9984303,0.000008052585,0.001106566,0.0001631234,0.00007225732,0.0002196906],"domain_scores_gemma":[0.9991731,0.00008236334,0.0004993329,0.0001365435,0.00008080761,0.0000278636],"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":[0.00007696115,0.0001723278,0.05734664,0.00008375179,0.00002017852,0.00004347502,0.0008238415,0.0003347818,0.000002816508,0.8839032,0.0001533692,0.05703867],"study_design_scores_gemma":[0.0001224827,0.00009370619,0.0364266,0.0001998268,0.000004517563,0.000003370171,0.0001708754,0.0003445955,0.0001083699,0.9290684,0.03330129,0.0001559053],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8067222,0.004758358,0.04953877,0.005383967,0.003536031,0.0002675314,0.00007211223,0.00002400167,0.129697],"genre_scores_gemma":[0.99852,0.0002769845,0.0002424885,0.0005946386,0.0001786195,0.000001853621,0.000001592809,0.000007208574,0.0001766056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1917978,"threshold_uncertainty_score":0.5049928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03880704201114794,"score_gpt":0.2653966676862967,"score_spread":0.2265896256751487,"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."}}