{"id":"W3015917355","doi":"10.7172/1644-9584.85.1","title":"Big Data: Challenges and Opportunities in Financial Management","year":2019,"lang":"en","type":"article","venue":"Problemy Zarządzania - Management Issues","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Business; Big data; 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":[0.02127937,0.0008126496,0.001165329,0.004440527,0.004797477,0.01799329,0.002510312,0.005901127,0.003810821],"category_scores_gemma":[0.02904335,0.0008490596,0.0008702057,0.009916347,0.01149424,0.03281378,0.007710832,0.008044287,0.0009952845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003456863,"about_ca_system_score_gemma":0.006269489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003490266,"about_ca_topic_score_gemma":0.004257592,"domain_scores_codex":[0.9866541,0.007029835,0.0007833524,0.001030871,0.003866383,0.0006354962],"domain_scores_gemma":[0.9414207,0.04596282,0.002587073,0.003150036,0.004111215,0.0027683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001111032,0.000125047,0.01408881,0.002644938,0.0001264782,0.0007661761,0.005519505,0.003662123,0.0005809897,0.6165262,0.1087862,0.2470624],"study_design_scores_gemma":[0.00001563465,0.00005651103,0.004759078,0.001926963,0.00002608135,0.0007394975,0.01732943,0.008226185,0.0003659082,0.6219001,0.344552,0.0001025798],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.01717621,0.1205065,0.05712041,0.759017,0.006277007,0.0001671393,0.0009730306,0.000249736,0.03851297],"genre_scores_gemma":[0.4998159,0.2477367,0.1385309,0.06891212,0.03279012,0.0006063121,0.001404195,0.0002504242,0.009953266],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.02127937,"threshold_uncertainty_score":0.1125374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2180534969325516,"score_gpt":0.2963102491953286,"score_spread":0.07825675226277704,"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."}}