{"id":"W4298010943","doi":"10.2139/ssrn.2767369","title":"Big Data Analytics: A New Perspective","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trinity College","funders":"","keywords":"Perspective (graphical); Big data; Data science; Analytics; Computer science; Data analysis; Data mining; Artificial intelligence","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":[0.01527464,0.002427937,0.003232236,0.01118629,0.002475994,0.02750329,0.003773393,0.01205055,0.00589674],"category_scores_gemma":[0.02114365,0.001338146,0.001679785,0.01104328,0.02517828,0.08738796,0.009218059,0.01624608,0.002120662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00515361,"about_ca_system_score_gemma":0.004496565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001729723,"about_ca_topic_score_gemma":0.002062718,"domain_scores_codex":[0.9915867,0.003365875,0.0006729589,0.001081007,0.002936272,0.0003572088],"domain_scores_gemma":[0.9519635,0.0335821,0.001850892,0.003825443,0.005498167,0.003279945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006268008,0.00006461353,0.001105389,0.001033572,0.00008379191,0.0001550414,0.0005834865,0.0006564977,0.0002916361,0.8774814,0.06533731,0.05314459],"study_design_scores_gemma":[0.00001977148,0.00004196061,0.0005668722,0.001165331,0.00004258065,0.0002955553,0.001312783,0.00271309,0.0001769172,0.7747731,0.2188339,0.00005808761],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.002229745,0.3956085,0.08085966,0.4636161,0.02165502,0.00003655806,0.0005719337,0.0003426088,0.03507993],"genre_scores_gemma":[0.1486484,0.5197834,0.06750739,0.09565676,0.1566541,0.0002285862,0.0006789504,0.0004430237,0.01039947],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02750329,"threshold_uncertainty_score":0.08078098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.107944282519903,"score_gpt":0.3024370222186431,"score_spread":0.1944927396987401,"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."}}