{"id":"W4408402278","doi":"10.1109/ictbig64922.2024.10911110","title":"Advances in Big Data and Data Mining: Techniques and Applications in Data Fusion for Enhanced Insights and Decision-Making","year":2024,"lang":"en","type":"article","venue":"","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Computer science; Big data; Sensor fusion; Data mining; Data science; Data modeling; Machine learning; Database","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":[0.01134629,0.001503679,0.002190971,0.006730528,0.001074426,0.007514705,0.002203577,0.003232033,0.002817844],"category_scores_gemma":[0.01414308,0.0009972422,0.002218174,0.01241447,0.0048055,0.01113931,0.003918133,0.005747099,0.00116848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002078444,"about_ca_system_score_gemma":0.002091171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001639007,"about_ca_topic_score_gemma":0.001467243,"domain_scores_codex":[0.9927945,0.002940893,0.0005644998,0.0006113551,0.002902254,0.0001864748],"domain_scores_gemma":[0.9816101,0.01407244,0.0007690814,0.001608974,0.001617827,0.0003216123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001212807,0.0001720494,0.004045914,0.003955133,0.0005081676,0.0003833112,0.001229676,0.02115428,0.002913144,0.420225,0.02070544,0.5245866],"study_design_scores_gemma":[0.0000362824,0.0001390951,0.002677841,0.001584671,0.0001294256,0.0005638801,0.0008680481,0.0994606,0.003228029,0.7462544,0.1448569,0.0002006639],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.005728553,0.2112964,0.7364299,0.02624111,0.001904583,0.0002438363,0.0004387259,0.0005340482,0.01718285],"genre_scores_gemma":[0.1255315,0.2357011,0.624967,0.003736369,0.005055145,0.0004261707,0.0006836966,0.0001562275,0.00374274],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01134629,"threshold_uncertainty_score":0.06000566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.116070029680799,"score_gpt":0.3794365448763078,"score_spread":0.2633665151955088,"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."}}