{"id":"W2165921210","doi":"10.1109/icc.1995.524532","title":"A methodology for designing local area ATM networks","year":2002,"lang":"en","type":"article","venue":"","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Network topology; Heuristics; Computer science; Logical topology; Topology (electrical circuits); Quality of service; Asynchronous Transfer Mode; Computer network; Local area network; Distributed computing; Engineering","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":[0.0006656783,0.0000932647,0.0001712675,0.00004500977,0.0001211302,0.00008543018,0.0003476733,0.0000936064,0.0000910356],"category_scores_gemma":[0.00003482103,0.00007484057,0.00009099281,0.0001651915,0.00002278551,0.0001560736,0.00006180107,0.00008077364,0.00002809765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002547449,"about_ca_system_score_gemma":0.000004688374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001708745,"about_ca_topic_score_gemma":0.00002043646,"domain_scores_codex":[0.9989892,0.0001657402,0.0002080854,0.000274341,0.00006841536,0.0002942159],"domain_scores_gemma":[0.9988919,0.0006636451,0.00005334286,0.0002589877,0.00007013583,0.00006202612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001785172,0.00006888169,0.0001378068,0.00001637591,0.0000870742,0.0000177299,0.0009734125,0.113495,0.0003466164,0.4536006,0.1680995,0.2631391],"study_design_scores_gemma":[0.0001837686,0.0001056925,0.000007068345,0.000008451747,0.000002588078,0.0000494708,0.0000471686,0.9820166,0.0002059104,0.001279937,0.0159907,0.00010262],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00006484615,0.0002289711,0.9917863,0.0004083545,0.001198806,0.0001651264,1.225855e-7,0.000168994,0.005978463],"genre_scores_gemma":[0.7375808,0.000006430128,0.2578483,0.0009267103,0.0002532505,0.0000487876,3.357897e-7,0.000006960941,0.003328341],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8685216,"threshold_uncertainty_score":0.305191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1586310245196148,"score_gpt":0.2843720936286558,"score_spread":0.1257410691090411,"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."}}