{"id":"W2102877660","doi":"10.1109/icdcs.2010.62","title":"Does Link Scheduling Matter on Long Paths?","year":2010,"lang":"en","type":"article","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Scheduling (production processes); Statistical time division multiplexing; Dynamic priority scheduling; Distributed computing; Quality of service; Multiplexing; Mathematical optimization; Computer network; Mathematics","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":[0.003087105,0.0005754491,0.0006570597,0.0005613364,0.0008949703,0.002318464,0.0009731278,0.00132025,0.005081859],"category_scores_gemma":[0.022904,0.0002813844,0.0003123957,0.0011265,0.001489568,0.006881705,0.0009651584,0.00144632,0.0006861404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009937661,"about_ca_system_score_gemma":0.0009213708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001284115,"about_ca_topic_score_gemma":0.001754377,"domain_scores_codex":[0.9990414,0.0002903462,0.00003151538,0.0002006175,0.0001847883,0.0002512147],"domain_scores_gemma":[0.9765987,0.0158025,0.003324716,0.002080687,0.001154941,0.001038548],"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":[0.00142607,0.0006023289,0.06271861,0.0008770397,0.0004473492,0.0005100485,0.0006840967,0.3457735,0.03349148,0.2412958,0.008164853,0.3040088],"study_design_scores_gemma":[0.0001276916,0.001132311,0.06325783,0.0002333105,0.0003717097,0.000903063,0.002161129,0.3733513,0.02408326,0.5174579,0.01678724,0.0001332962],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7973013,0.008575224,0.1553402,0.01037789,0.0005611009,0.0000681774,0.0004540347,0.0003551914,0.02696683],"genre_scores_gemma":[0.9902726,0.001690762,0.005674343,0.0004552039,0.0002053478,0.00001467521,0.00006000133,0.0001019777,0.001524909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005081859,"threshold_uncertainty_score":0.0170005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005430238586450473,"score_gpt":0.2103244793407348,"score_spread":0.2048942407542843,"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."}}