{"id":"W64675093","doi":"","title":"Introduction to the IBM Netezza warehouse appliance","year":2011,"lang":"en","type":"article","venue":"Conference of the Centre for Advanced Studies on Collaborative Research","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"IBM (Canada)","funders":"","keywords":"IBM; Warehouse; Computer science; Data warehouse; Operating system; Database; Business; Materials science","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":[0.0006650273,0.001376141,0.0004714763,0.0007639439,0.0007977658,0.002824838,0.001300207,0.001204063,0.1513302],"category_scores_gemma":[0.001543999,0.001048576,0.000549163,0.0009766751,0.0003645724,0.002735883,0.00205651,0.003207521,0.08237759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00073857,"about_ca_system_score_gemma":0.0007426742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008710258,"about_ca_topic_score_gemma":0.001811759,"domain_scores_codex":[0.9993592,0.00007625553,0.0000357027,0.0001255937,0.0003048435,0.00009837002],"domain_scores_gemma":[0.9993678,0.0001223263,0.00002676522,0.00006903779,0.0002490548,0.0001649781],"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":[0.0004937261,0.0006955353,0.001078225,0.0008503213,0.00001137221,0.0006930811,0.002947899,0.001691489,0.03078877,0.03105447,0.4347614,0.4949337],"study_design_scores_gemma":[0.00002712832,0.0001342012,0.0009098336,0.0001720751,0.000004648374,0.0005430961,0.0003138835,0.001009845,0.002512657,0.004534923,0.9898122,0.00002545167],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.01734215,0.004423118,0.3308234,0.007814579,0.003992773,0.002158486,0.002890771,0.03924359,0.5913111],"genre_scores_gemma":[0.04542869,0.005507712,0.231767,0.002959641,0.001120983,0.001362119,0.004420052,0.008513908,0.6989199],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1513302,"threshold_uncertainty_score":0.50625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1326328278173092,"score_gpt":0.3652895387390788,"score_spread":0.2326567109217695,"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."}}