{"id":"W1787335786","doi":"10.1109/ccece.1993.332259","title":"Controlling medium access in very high speed ring networks","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":"University of Alberta","funders":"","keywords":"Token ring; Ring (chemistry); Throughput; Computer science; Security token; Computer network; Service (business); Telecommunications; Chemistry","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":[0.0004044932,0.0003132605,0.0002559971,0.0004821256,0.0006053172,0.0009085269,0.0009568717,0.0004389411,0.001894067],"category_scores_gemma":[0.0007864828,0.0001829658,0.0002228526,0.000386784,0.0006419845,0.002131651,0.0006770329,0.0006578533,0.0009131286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004530719,"about_ca_system_score_gemma":0.000328269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006392974,"about_ca_topic_score_gemma":0.001091889,"domain_scores_codex":[0.999653,0.00006248023,0.00002012375,0.00004702109,0.0001603344,0.0000571266],"domain_scores_gemma":[0.9997321,0.000101437,0.00003646425,0.00005520075,0.00004981781,0.00002494541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004906261,0.0001629575,0.0009192799,0.000300963,0.00007747324,0.000582315,0.0003528116,0.02506915,0.2312582,0.2698966,0.01394075,0.4569488],"study_design_scores_gemma":[0.0001698394,0.0007910452,0.0008017801,0.00005555117,0.0001227368,0.001334658,0.00009018606,0.4242157,0.2890359,0.07163697,0.211582,0.00016363],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02885976,0.002360478,0.9427725,0.0003618696,0.0005344113,0.00009615942,0.00006282937,0.002064169,0.02288778],"genre_scores_gemma":[0.6529137,0.003193846,0.3140233,0.0004812472,0.0006314185,0.0001689823,0.0001783026,0.0002793454,0.02812982],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001894067,"threshold_uncertainty_score":0.006336272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01635174923420159,"score_gpt":0.225850334534592,"score_spread":0.2094985853003904,"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."}}