{"id":"W2036979494","doi":"10.1109/sege.2013.6707935","title":"Research on multi-data sources data center architecture at UOIT","year":2013,"lang":"en","type":"article","venue":"","topic":"Smart Grid and Power Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Computer science; Data warehouse; Data center; Database; Data quality; Data acquisition; Data modeling; Architecture; Data management; Smart grid; Distributed database; Computer data storage; Real-time computing; Distributed computing; Operating system; Engineering","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":[0.0006720393,0.0002816922,0.0002262442,0.0006646373,0.0007252396,0.002574418,0.001037538,0.000401376,0.002201168],"category_scores_gemma":[0.000638938,0.0002555558,0.0002758053,0.001068364,0.0003280856,0.003476793,0.0007364177,0.0007101893,0.0004470972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001775415,"about_ca_system_score_gemma":0.001758579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008838758,"about_ca_topic_score_gemma":0.007418661,"domain_scores_codex":[0.9995196,0.00006703733,0.00002831988,0.0001593877,0.0001557531,0.00006993272],"domain_scores_gemma":[0.9995085,0.0000516447,0.00002387113,0.00007309595,0.00028506,0.00005790169],"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":[0.0008418479,0.0004291152,0.03745005,0.0004408076,0.0001595671,0.001301349,0.00206517,0.08137,0.07422882,0.1167891,0.02527927,0.6596448],"study_design_scores_gemma":[0.0001156026,0.0005485953,0.0131995,0.0001187975,0.0001374937,0.0009373333,0.001671935,0.6981043,0.1187624,0.01925515,0.1470348,0.0001140577],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3307362,0.002039092,0.6197405,0.003873239,0.0002819966,0.0003224452,0.0006591873,0.004080854,0.03826647],"genre_scores_gemma":[0.8654581,0.001147338,0.1205044,0.0002496319,0.00007852746,0.00009687706,0.000767986,0.000126985,0.01157027],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008838758,"threshold_uncertainty_score":0.01757467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1453199992163189,"score_gpt":0.3350518104965333,"score_spread":0.1897318112802145,"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."}}