{"id":"W4213356867","doi":"10.2139/ssrn.4035037","title":"The Use and Usefulness of Big Data in Capital Markets","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Big data; Business; Capital market; Economics; Econometrics; Data science; Computer science; Finance; 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":[0.01869713,0.0004081326,0.0002958649,0.005691293,0.0007504795,0.007757383,0.001014227,0.002407475,0.003030658],"category_scores_gemma":[0.1570554,0.0004414355,0.000615588,0.005795327,0.002758641,0.01794492,0.00196908,0.002368611,0.0005570982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001663547,"about_ca_system_score_gemma":0.001292247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004279616,"about_ca_topic_score_gemma":0.005171969,"domain_scores_codex":[0.988483,0.006617921,0.0006183511,0.000694203,0.003141927,0.000444583],"domain_scores_gemma":[0.6606923,0.2849403,0.02535109,0.0122102,0.01340008,0.003405917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006759307,0.0002121904,0.7424062,0.0006809502,0.0005048967,0.0005442899,0.003770375,0.005641581,0.0007480333,0.05954869,0.01842619,0.1668406],"study_design_scores_gemma":[0.00007597749,0.0003787614,0.6960436,0.00240177,0.0005378043,0.001144354,0.01270891,0.04183782,0.003511439,0.1765056,0.06463017,0.0002237849],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7930669,0.0428414,0.01012349,0.07595383,0.001004399,0.0001049894,0.003104187,0.0001677232,0.07363302],"genre_scores_gemma":[0.992331,0.004112366,0.001113322,0.0008525904,0.0005130278,0.00001249319,0.0002978019,0.00002423188,0.0007431112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01869713,"threshold_uncertainty_score":0.09888107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09110554837534637,"score_gpt":0.2618428575682932,"score_spread":0.1707373091929468,"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."}}