{"id":"W4406459585","doi":"10.1109/bigdata62323.2024.10824998","title":"DataInsight: Big Data Analytics Services","year":2024,"lang":"en","type":"article","venue":"","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Big data; Computer science; Analytics; Data science; Data analysis; 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":[0.003390797,0.00206975,0.001292983,0.003949432,0.001349045,0.00494559,0.002894714,0.001612795,0.03004608],"category_scores_gemma":[0.009771812,0.0009410402,0.0007982582,0.005438886,0.0009135855,0.008950791,0.008481381,0.002758433,0.01932216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001263673,"about_ca_system_score_gemma":0.002617635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004426644,"about_ca_topic_score_gemma":0.003432743,"domain_scores_codex":[0.9975547,0.0003905869,0.0001618249,0.0003528264,0.001235107,0.0003049555],"domain_scores_gemma":[0.9942166,0.00152782,0.0004243183,0.001777421,0.0009149918,0.001138939],"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":[0.001859267,0.0002317478,0.005573607,0.0005976135,0.0001443404,0.0005951591,0.0005521608,0.00246886,0.007136432,0.01974469,0.7720181,0.189078],"study_design_scores_gemma":[0.0003860221,0.0001836947,0.005846659,0.0002665414,0.00006020754,0.000768084,0.0005206187,0.06253848,0.01877447,0.05492032,0.8554493,0.0002855713],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"other","genre_scores_codex":[0.01354941,0.003743215,0.2002529,0.007726779,0.001205171,0.001220876,0.0765188,0.6180307,0.07775211],"genre_scores_gemma":[0.3549953,0.008139453,0.2330418,0.01299046,0.002089539,0.001891048,0.2502838,0.06292687,0.07364169],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03004608,"threshold_uncertainty_score":0.1005141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2406139503462489,"score_gpt":0.3253134212690432,"score_spread":0.08469947092279434,"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."}}