{"id":"W2150082046","doi":"10.1109/cnsr.2006.34","title":"Loan-Grant Based Round Robin Scheduling","year":2006,"lang":"en","type":"article","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Computer network; Scheduling (production processes); Frame (networking); Network packet; Bandwidth (computing); Real-time computing; Loan; Finance","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":[0.001632776,0.0005997033,0.001305745,0.0006941077,0.001055883,0.001190699,0.003006212,0.0006441606,0.003214212],"category_scores_gemma":[0.003776656,0.0003979892,0.0003673212,0.000735047,0.0007016546,0.001758387,0.001526376,0.000878604,0.001253072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001021764,"about_ca_system_score_gemma":0.002006446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004314655,"about_ca_topic_score_gemma":0.004542277,"domain_scores_codex":[0.9979421,0.0007083963,0.0001361034,0.0003141088,0.0005960913,0.0003030539],"domain_scores_gemma":[0.9975165,0.000611262,0.000258193,0.000631866,0.0005989826,0.0003832139],"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":[0.00208307,0.0006581819,0.004316666,0.0003193139,0.0001867095,0.0004789538,0.0007940783,0.3113467,0.04531291,0.05564449,0.02581026,0.5530487],"study_design_scores_gemma":[0.0001747889,0.0002183838,0.0004402985,0.00000724294,0.00003322395,0.0002015039,0.00006059935,0.9696652,0.01029915,0.00897411,0.009844496,0.00008092025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05312029,0.000610242,0.9369591,0.0005684756,0.0002275444,0.0004025704,0.0001606309,0.003981431,0.003969739],"genre_scores_gemma":[0.6199216,0.0003290068,0.3733624,0.0002265231,0.0002082735,0.0002414946,0.0002293045,0.0002340193,0.005247415],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004314655,"threshold_uncertainty_score":0.01075262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009311470719769793,"score_gpt":0.2024355758752746,"score_spread":0.1931241051555048,"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."}}