{"id":"W33262381","doi":"10.1038/s41598-020-77823-3","title":"Incorporating deadline scheduling into DCCP","year":2013,"lang":"en","type":"dissertation","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University","keywords":"Network packet; Computer science; Scheduling (production processes); Computer network; Round-robin scheduling; Distributed computing; Dynamic priority scheduling; Quality of service; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002131138,0.000277909,0.0002985262,0.0001374849,0.0001836659,0.0003739196,0.0009201593,0.0002663863,0.0001198632],"category_scores_gemma":[0.0000497968,0.0002489575,0.0001001239,0.0003121651,0.0000135401,0.0004296217,0.00006584111,0.0003873463,0.000623333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003851919,"about_ca_system_score_gemma":0.0002380221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007753769,"about_ca_topic_score_gemma":0.0002044796,"domain_scores_codex":[0.9984354,0.000048994,0.0004174021,0.0005256749,0.0003135526,0.0002589819],"domain_scores_gemma":[0.9987145,0.0001036385,0.0002863596,0.0004845367,0.0002840264,0.0001269201],"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":[0.000004573693,0.00002314558,0.00002822998,0.00004088572,0.0000322033,0.000007141381,0.0003449734,0.000879912,0.0002364909,0.1712359,0.001285723,0.8258808],"study_design_scores_gemma":[0.000377337,0.00005612853,0.0001468814,0.000181595,0.00002452398,0.000004524552,0.0003028718,0.9844629,0.000432192,0.01147254,0.001931787,0.0006067365],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02967157,0.001094883,0.9349139,0.0007415125,0.002810287,0.0004620886,3.924652e-7,0.0009286602,0.02937675],"genre_scores_gemma":[0.6932832,0.00002785693,0.2767624,0.0005812749,0.0006745557,0.0001155039,0.000181692,0.0000352333,0.02833831],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.983583,"threshold_uncertainty_score":0.9999962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0082109776127523,"score_gpt":0.2382396824837684,"score_spread":0.2300287048710161,"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."}}