{"id":"W4244460768","doi":"10.32920/ryerson.14645313","title":"Study Of Resilient Packet Ring Based On OPNET","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Ring oscillator; Computer science; Network packet; Key (lock); Queue; Fuzzy logic; Computer network; Engineering; Computer security; Artificial intelligence","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":[0.00091041,0.0004727988,0.0005346123,0.0008970026,0.0008787853,0.00097365,0.00136624,0.0007298148,0.002200621],"category_scores_gemma":[0.002372388,0.0003077783,0.000647174,0.0004502686,0.0009550415,0.001658345,0.0009209057,0.0006062473,0.0001323709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001453535,"about_ca_system_score_gemma":0.0007791352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005784312,"about_ca_topic_score_gemma":0.001853363,"domain_scores_codex":[0.9994503,0.0002245593,0.00001225149,0.00008234631,0.0001037971,0.0001267494],"domain_scores_gemma":[0.9990582,0.0004976784,0.000145957,0.00006434853,0.0001472768,0.00008640537],"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":[0.00008430774,0.00004330534,0.001814656,0.0000550964,0.00003219327,0.0002472409,0.00009448,0.9403174,0.002481811,0.05111173,0.000584544,0.003133242],"study_design_scores_gemma":[0.000002859828,0.00001831583,0.0001274145,0.000003425379,0.000004738328,0.00001452809,0.00001699792,0.9978001,0.0001652257,0.001648853,0.0001944814,0.000003072824],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7333694,0.001863095,0.2237411,0.001030676,0.0002483547,0.0001731621,0.0002068891,0.0003476464,0.03901968],"genre_scores_gemma":[0.9916225,0.0003196832,0.005670229,0.00004378889,0.00002568845,0.00003399826,0.00002680261,0.00002730263,0.002230006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005784312,"threshold_uncertainty_score":0.01150125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02374863432270133,"score_gpt":0.258300694909773,"score_spread":0.2345520605870717,"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."}}