{"id":"W2166471283","doi":"10.1109/ccece.1995.528167","title":"Design and optimization of an asynchronous transfer mode network for DND","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Computer science; Node (physics); Linear programming; Network topology; Constraint (computer-aided design); Asynchronous communication; Asynchronous Transfer Mode; Transfer (computing); Network planning and design; Mode (computer interface); Computer network; Mathematical optimization; Constraint programming; Distributed computing; Topology (electrical circuits); Engineering; Stochastic programming; Mathematics; Algorithm","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0004279253,0.0005292247,0.0003539034,0.0003259628,0.0004770549,0.0007189302,0.0006270871,0.0006107684,0.002122939],"category_scores_gemma":[0.0006644923,0.0002771792,0.0003031525,0.0002796836,0.0003723115,0.0005688711,0.0003798427,0.000455017,0.0002752859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001253941,"about_ca_system_score_gemma":0.001096486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002824142,"about_ca_topic_score_gemma":0.005374623,"domain_scores_codex":[0.9997782,0.00006358734,0.000005639426,0.00004185819,0.00008064076,0.00003012138],"domain_scores_gemma":[0.9998367,0.00005462515,0.0000423704,0.000009075974,0.00004172393,0.00001554826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005162884,0.00003674458,0.0003203353,0.00005958952,0.0000115704,0.0000617339,0.00002457327,0.9611545,0.0080683,0.01188856,0.0005403733,0.01778206],"study_design_scores_gemma":[0.00001224064,0.00006913247,0.00008754322,0.000004411895,0.00000647498,0.00001662086,0.000008662605,0.9957814,0.0009007268,0.001891202,0.001217571,0.000003974302],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04326802,0.0001966585,0.9414243,0.0002602992,0.00005657523,0.0001469552,0.0001136044,0.00018264,0.01435094],"genre_scores_gemma":[0.7879551,0.0003583236,0.2049651,0.00008832903,0.00003480221,0.0003266191,0.00008500638,0.00003751779,0.00614906],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002824142,"threshold_uncertainty_score":0.009098053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01599002130390786,"score_gpt":0.2132581763609558,"score_spread":0.197268155057048,"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."}}