{"id":"W4312734754","doi":"10.1007/978-3-031-12240-8","title":"Big Data in Finance","year":2022,"lang":"en","type":"book","venue":"","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Big data; Business; Finance; Computer science; Data mining","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":[0.001040372,0.001403778,0.001021052,0.002956958,0.001267817,0.005433484,0.0007630988,0.002123802,0.05387603],"category_scores_gemma":[0.00302178,0.000741123,0.0004591641,0.003979113,0.001729375,0.007366742,0.002326185,0.003402524,0.04066306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002310019,"about_ca_system_score_gemma":0.002625872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00677208,"about_ca_topic_score_gemma":0.01761443,"domain_scores_codex":[0.9992145,0.0001315012,0.00002452344,0.00007330402,0.0004993704,0.00005678857],"domain_scores_gemma":[0.9990097,0.0004316841,0.00004694559,0.0001570365,0.0002371072,0.0001175317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007304163,0.000007648677,0.00004591999,0.00005927162,0.000004233606,0.0000122028,0.00003552099,0.0001549402,0.00005978493,0.03634436,0.893652,0.06961693],"study_design_scores_gemma":[0.000003449266,0.000004807827,0.0002502037,0.0001200768,0.000002805186,0.0000414602,0.00003265256,0.0003360852,0.00005850568,0.05065027,0.9484943,0.000005270289],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000536985,0.08619313,0.01172672,0.02666365,0.0098223,0.0001359574,0.001565018,0.001051654,0.8623045],"genre_scores_gemma":[0.004424683,0.02708865,0.004119216,0.007264996,0.003885319,0.00009341761,0.0009548846,0.0004209568,0.9517478],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05387603,"threshold_uncertainty_score":0.1802333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1795651659527003,"score_gpt":0.2940237923555337,"score_spread":0.1144586264028334,"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."}}