{"id":"W4387373263","doi":"10.3390/jrfm16100434","title":"Unveiling the Influence of Artificial Intelligence and Machine Learning on Financial Markets: A Comprehensive Analysis of AI Applications in Trading, Risk Management, and Financial Operations","year":2023,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":142,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Financial services; Workforce; Finance; Risk management; Financial market; Business; Artificial intelligence; Knowledge management; Computer science; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02199478,0.0002142868,0.0003353964,0.005083089,0.00124809,0.006148917,0.0004645627,0.0009366669,0.001783732],"category_scores_gemma":[0.05639376,0.0002336243,0.0003426144,0.006445121,0.003367712,0.01244414,0.002825067,0.001371763,0.0001332021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002317126,"about_ca_system_score_gemma":0.004497344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001820763,"about_ca_topic_score_gemma":0.003364364,"domain_scores_codex":[0.9834104,0.01022993,0.0007009992,0.0004244127,0.00448351,0.0007506225],"domain_scores_gemma":[0.8345359,0.1388058,0.01552039,0.001804781,0.007904722,0.001428459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002348511,0.0003382298,0.3775503,0.002650383,0.0002575461,0.00124689,0.1488719,0.00212256,0.002787053,0.1325024,0.004307567,0.3271303],"study_design_scores_gemma":[0.00002925741,0.0005304183,0.5054756,0.005419257,0.0003083445,0.001083194,0.3295763,0.01023712,0.003020299,0.05422901,0.08994502,0.0001462111],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.939254,0.0115232,0.005778424,0.01165575,0.00006863835,0.0001032341,0.0001699334,0.0000186855,0.03142808],"genre_scores_gemma":[0.9942934,0.003220094,0.001408669,0.0005117123,0.00004458891,0.00004394236,0.00003372784,0.00001033211,0.0004336322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02199478,"threshold_uncertainty_score":0.1163209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01204384929083854,"score_gpt":0.2463973923295769,"score_spread":0.2343535430387384,"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."}}