{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005291248,0.0006625134,0.0004687573,0.001183495,0.009379804,0.006159977,0.001545895,0.001425426,0.1402995],"category_scores_gemma":[0.001394196,0.0008382326,0.0005012651,0.001902883,0.00121956,0.001425504,0.002964411,0.002213707,0.03502401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02273981,"about_ca_system_score_gemma":0.05843238,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9631767,"about_ca_topic_score_gemma":0.9869931,"domain_scores_codex":[0.9979849,0.0000602353,0.00004074613,0.0003822406,0.0006957226,0.0008362576],"domain_scores_gemma":[0.9973134,0.00006041878,0.00004507976,0.0001381327,0.001308381,0.001134574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009600613,0.0001252433,0.02013168,0.0001437171,0.00001811598,0.0003389591,0.0008551806,0.0004183809,0.001986597,0.005288704,0.8729081,0.09768932],"study_design_scores_gemma":[0.00002042551,0.00002959469,0.02618105,0.00004065147,0.00001394451,0.0001456586,0.001866384,0.0002254798,0.0003719063,0.0002082829,0.9708698,0.00002694368],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1452596,0.002410494,0.005231285,0.03665882,0.002056144,0.0008691624,0.01731545,0.006426158,0.7837729],"genre_scores_gemma":[0.1664802,0.001353265,0.00444397,0.004874197,0.0001403655,0.0001301642,0.006185872,0.0004926751,0.8158994],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9631767,"threshold_uncertainty_score":0.4693484,"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."}}