{"id":"W4391093809","doi":"10.1109/bigdata59044.2023.10386560","title":"Machine-Learning-Based Multidimensional Big Data Analytics over Clouds via Multi-Columnar Big OLAP Data Cube Compression","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Online analytical processing; Big data; Computer science; Data cube; Analytics; Data science; Knowledge extraction; Cube (algebra); Representation (politics); Cloud computing; Business intelligence; Data mining; Data warehouse","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":[0.0008267424,0.0007777553,0.0008991243,0.001191447,0.0007462174,0.002944382,0.001880318,0.0005759883,0.001493797],"category_scores_gemma":[0.003737964,0.0002984822,0.000742786,0.003636816,0.0009527422,0.004601091,0.002593988,0.001734743,0.0007807877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000904964,"about_ca_system_score_gemma":0.001444871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003333211,"about_ca_topic_score_gemma":0.002877496,"domain_scores_codex":[0.9989282,0.0001891468,0.0000872037,0.0001419777,0.0005364275,0.0001169722],"domain_scores_gemma":[0.9983551,0.0003916391,0.0001227947,0.0006779335,0.0003891422,0.00006328114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004999049,0.0002981993,0.002959615,0.0003925938,0.0001841413,0.000492665,0.0004724828,0.2815692,0.02365707,0.2237806,0.02555441,0.440139],"study_design_scores_gemma":[0.00001931731,0.00004257379,0.0002663018,0.00003063736,0.00001969819,0.0001113596,0.000124375,0.9165508,0.01213271,0.06253449,0.008146867,0.00002098172],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01379658,0.0006544336,0.9795945,0.00105942,0.0001432895,0.00009288067,0.0004044997,0.001848341,0.002406004],"genre_scores_gemma":[0.3949854,0.001702609,0.5981206,0.0006873648,0.0003192939,0.0002395395,0.001697535,0.0002122487,0.00203528],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003333211,"threshold_uncertainty_score":0.006627619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1376715141929767,"score_gpt":0.3226442802585133,"score_spread":0.1849727660655366,"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."}}