{"id":"W2145798751","doi":"10.1109/icc.1988.13814","title":"Data communication needs for higher education-the University of Waterloo experience","year":2003,"lang":"en","type":"article","venue":"","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"University of Waterloo","keywords":"Campus network; Computer science; Computer network; Internetworking; Local area network; Disjoint sets; Routing (electronic design automation); World Wide Web; The Internet","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00027006,0.00004838371,0.00005101903,0.00003252836,0.0001448101,0.00003099193,0.002440046,0.0000142922,0.0001622766],"category_scores_gemma":[0.000006743716,0.00003840336,0.00001735629,0.0002602584,0.00005476714,0.0003386093,0.0004616477,0.0000268473,0.00001361327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002799989,"about_ca_system_score_gemma":0.0000657011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001414818,"about_ca_topic_score_gemma":0.00003689529,"domain_scores_codex":[0.9994867,0.00007608521,0.00008881941,0.000155391,0.00009479798,0.00009814691],"domain_scores_gemma":[0.9975889,0.00008522799,0.00005912289,0.002186446,0.00005468552,0.00002564546],"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":[0.000002511851,0.00008671857,0.0002197519,0.00001094687,0.00001229367,1.026489e-7,0.001527566,0.0002796118,0.00003633547,0.8621665,0.1225866,0.0130711],"study_design_scores_gemma":[0.0001470548,0.00001710133,0.0003685725,0.000007911351,0.000007951589,3.7782e-7,0.001179704,0.01254061,0.0003744647,0.001819377,0.9834613,0.00007559217],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006789571,0.0002584733,0.9701071,0.003768339,0.000400453,0.0006300379,0.000003903323,0.00006828463,0.01797378],"genre_scores_gemma":[0.8056134,0.00006022365,0.1617586,0.0008214594,0.00001584134,0.00001454581,0.00003136339,0.000004801376,0.03167978],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8608747,"threshold_uncertainty_score":0.4534253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05018085296235073,"score_gpt":0.2635857611223749,"score_spread":0.2134049081600242,"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."}}