{"id":"W222960660","doi":"","title":"Canadian School District Expands, Simplifies Data Center with KVM Technology: With 24,000 Students and 55 Different Sites, Richmond School District No. 38 Needed the Flexibility to Manage Its Servers Remotely from Any Location at Any Time-And ATEN's Line of Enterprise KVM Solutions Met the Challenge","year":2005,"lang":"en","type":"article","venue":"T.H.E. Journal Technological Horizons in Education","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intranet; Data center; Revenue; School district; Curriculum; Flexibility (engineering); Engineering; Computer science; Business; World Wide Web; The Internet; Management; Sociology; Operating system; Pedagogy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003348685,0.0003358915,0.0003166458,0.0004303935,0.0003400313,0.0001313304,0.0009452776,0.0002225372,0.00004517105],"category_scores_gemma":[0.0004121807,0.0002057243,0.00002714152,0.0008563685,0.0001940442,0.0003177345,0.0004187782,0.001005464,0.00002051474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001097465,"about_ca_system_score_gemma":0.00006223754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000860905,"about_ca_topic_score_gemma":0.00392951,"domain_scores_codex":[0.9982442,0.00007538129,0.000449552,0.0004389083,0.0003276791,0.0004643156],"domain_scores_gemma":[0.998572,0.0001065104,0.0001367588,0.0008351113,0.00009836254,0.0002512585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001192896,0.004653777,0.7755203,0.0003816219,0.001875292,0.00008421237,0.005234601,0.05607535,0.04109733,0.0006325467,0.009186721,0.1040654],"study_design_scores_gemma":[0.005202888,0.002849718,0.8690431,0.002522251,0.0005887553,0.0004852876,0.0287152,0.06004473,0.009541805,0.0007149173,0.01778233,0.002509032],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913713,0.003247415,0.001175925,0.003039156,0.000104048,0.0006742209,0.0001078989,0.0001916417,0.00008844107],"genre_scores_gemma":[0.9961241,0.001044952,0.002421582,0.00003508307,0.00008452333,0.00006114456,0.00010885,0.00003477621,0.0000849752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1015564,"threshold_uncertainty_score":0.8389195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02006740894982036,"score_gpt":0.261844866615947,"score_spread":0.2417774576661266,"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."}}