{"id":"W2099719587","doi":"10.1109/infcom.1995.515933","title":"The fat banyan ATM switch","year":2002,"lang":"en","type":"article","venue":"","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Banyan; Multistage interconnection networks; Computer network; Computer science; Throughput; Routing (electronic design automation); Telecommunications","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":[0.000317284,0.0002955922,0.0002777083,0.0003826634,0.0005606055,0.0007795707,0.00095127,0.0004940192,0.002315263],"category_scores_gemma":[0.0006207766,0.0002029817,0.0002549255,0.0003973976,0.0005652786,0.001391001,0.000759207,0.0007271435,0.0005120136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000411612,"about_ca_system_score_gemma":0.0007277983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007323801,"about_ca_topic_score_gemma":0.0006759527,"domain_scores_codex":[0.9997869,0.00005004226,0.000009687664,0.00004944604,0.00007374271,0.00003023764],"domain_scores_gemma":[0.9997934,0.00004549221,0.0000192875,0.00005150923,0.0000683907,0.0000219478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003869848,0.0001482104,0.001307289,0.0003609252,0.00009605179,0.000507212,0.0002128116,0.08302748,0.09904323,0.4401101,0.008182225,0.3666174],"study_design_scores_gemma":[0.00008531108,0.0005692862,0.0009883022,0.00006698188,0.000116256,0.001813754,0.0001048003,0.6968669,0.04185505,0.1608796,0.09657343,0.00008035403],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0575704,0.002113763,0.9127021,0.0005717415,0.0003600159,0.00009574115,0.0001139834,0.001050361,0.02542185],"genre_scores_gemma":[0.7099968,0.002225969,0.2726693,0.0004991858,0.0002480958,0.0001454758,0.000165567,0.00005564856,0.01399388],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002315263,"threshold_uncertainty_score":0.007745266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01990202525901207,"score_gpt":0.2021325051492251,"score_spread":0.182230479890213,"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."}}