{"id":"W4221036177","doi":"10.1109/iccci54379.2022.9740900","title":"Role of Artificial Intelligence in Financial Management","year":2022,"lang":"en","type":"article","venue":"2022 International Conference on Computer Communication and Informatics (ICCCI)","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Peter's Hospital","funders":"","keywords":"Financial management; Automation; Computer science; Finance; Process (computing); Financial analysis; Risk management; Accounting management; Financial services; Marketing and artificial intelligence; Risk analysis (engineering); Knowledge management; Business; Artificial intelligence; Engineering; Intelligent decision support system; Accounting","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006698124,0.00009210439,0.000209224,0.0004792439,0.0001118224,0.00009653436,0.0008071401,0.00002345847,0.001469857],"category_scores_gemma":[0.000008361194,0.0001132851,0.00006120814,0.0002724839,0.00002829047,0.0001856709,0.0003311604,0.0001869198,0.00004662761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004929895,"about_ca_system_score_gemma":0.00001046649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009061226,"about_ca_topic_score_gemma":0.00002381322,"domain_scores_codex":[0.9987613,0.00004911491,0.0008351288,0.0001138449,0.0001419074,0.00009867907],"domain_scores_gemma":[0.9991689,0.00003659778,0.0003692926,0.0003605806,0.00004418114,0.00002040945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001661516,0.0001550898,0.0003861672,0.00001510062,0.00001773248,6.600308e-7,0.004064468,0.0004988519,0.000001198647,0.9666349,0.0002315321,0.02797773],"study_design_scores_gemma":[0.0002336037,0.0002236775,0.005211948,0.00002916697,0.000004799573,0.000009650046,0.009777503,0.7175319,0.000003562855,0.2036696,0.0630793,0.0002253201],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1243849,0.0006446175,0.1048386,0.002582255,0.0006483202,0.0009127224,0.0005050612,0.0000455837,0.765438],"genre_scores_gemma":[0.9925617,0.0002395178,0.006380598,0.0005144855,0.00002034105,0.00005325476,0.0001419881,0.000003796184,0.00008432863],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8681768,"threshold_uncertainty_score":0.9994429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0436118609741358,"score_gpt":0.2420136458180996,"score_spread":0.1984017848439638,"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."}}