{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001273562,0.0001762002,0.0002540563,0.0001044948,0.000849743,0.00007107381,0.001966708,0.00003070954,0.000005291562],"category_scores_gemma":[0.001306135,0.00009678033,0.00007286938,0.001810142,0.0003462137,0.00004284039,0.001267668,0.000256267,0.00003217253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001470015,"about_ca_system_score_gemma":0.0001287229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006370801,"about_ca_topic_score_gemma":0.0000889665,"domain_scores_codex":[0.997634,0.0003735067,0.0002793843,0.0005780883,0.0006307549,0.00050428],"domain_scores_gemma":[0.9956205,0.0004805691,0.0001570678,0.001152119,0.002515655,0.00007406517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007606717,0.0005524061,0.0001171759,0.0002524687,0.0004995397,0.00000427493,0.1105709,0.0479711,0.001600245,0.451898,0.1923858,0.1933874],"study_design_scores_gemma":[0.002017568,0.002471795,0.001067069,0.000719846,0.00003721199,0.000001765466,0.08866812,0.02218984,0.1240038,0.02681179,0.7312168,0.000794336],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2763689,0.003577054,0.1497931,0.523639,0.0109842,0.02086787,0.000147129,0.0005941744,0.01402857],"genre_scores_gemma":[0.9842243,0.0001073793,0.007409482,0.0001989747,0.0003493541,0.0002889804,4.914321e-7,0.00001600412,0.007405018],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7078554,"threshold_uncertainty_score":0.6535622,"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."}}