{"id":"W1955457672","doi":"","title":"Alberta’s SuperNet: Video Delivery and WAN Bandwidth","year":2003,"lang":"en","type":"article","venue":"EdMedia: World Conference on Educational Media and Technology","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Bandwidth (computing); Computer science; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002227945,0.00113736,0.0007370116,0.001792705,0.001181863,0.002569356,0.002309694,0.0008515867,0.0151574],"category_scores_gemma":[0.003026799,0.0007020162,0.0003559025,0.002508708,0.0005516956,0.002119833,0.001195257,0.001698532,0.00317091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00402909,"about_ca_system_score_gemma":0.005663728,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2240705,"about_ca_topic_score_gemma":0.2792299,"domain_scores_codex":[0.9992558,0.00009426934,0.00002386313,0.00007651,0.0004212184,0.0001283145],"domain_scores_gemma":[0.9981187,0.000351638,0.00005117052,0.0003429199,0.0007601879,0.0003754146],"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":[0.001553267,0.0004338148,0.003738305,0.0001722756,0.00008827601,0.0001568828,0.0001611445,0.03405559,0.01019399,0.0345772,0.4683644,0.4465047],"study_design_scores_gemma":[0.0005393452,0.0003098342,0.004369394,0.0001075654,0.0002082033,0.0003815937,0.0002549941,0.5066339,0.02975805,0.01817039,0.4390906,0.0001759772],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08936095,0.007862112,0.4186275,0.006516566,0.003621119,0.0008869043,0.0198939,0.2455276,0.2077032],"genre_scores_gemma":[0.3826199,0.00686014,0.3447358,0.001146436,0.0006295062,0.0002561485,0.04249702,0.01127225,0.2099827],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7759295,"threshold_uncertainty_score":0.4455325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01210424099260314,"score_gpt":0.2062140055482787,"score_spread":0.1941097645556755,"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."}}