{"id":"W2171219261","doi":"10.1109/infcom.2004.1354483","title":"Deterministic packet marking for congestion price estimation","year":2004,"lang":"en","type":"article","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Network packet; Estimation; Network congestion; Computer network; Economics","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":[0.00334431,0.0006750682,0.0007073919,0.001222438,0.0006338189,0.000993759,0.001911061,0.0009595745,0.0011166],"category_scores_gemma":[0.02141811,0.0005481537,0.0003629886,0.001169881,0.001055398,0.002161674,0.001235795,0.001169935,0.0003154167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001693937,"about_ca_system_score_gemma":0.001229007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002272403,"about_ca_topic_score_gemma":0.00216675,"domain_scores_codex":[0.9970114,0.0009255837,0.0001919963,0.0004128557,0.001272884,0.0001852227],"domain_scores_gemma":[0.9894465,0.005807287,0.001475822,0.001997754,0.001121545,0.0001511148],"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":[0.0004479476,0.0001235208,0.004057672,0.0001199482,0.00009095808,0.0001057655,0.0001321251,0.6802838,0.01784097,0.04787708,0.001921903,0.2469982],"study_design_scores_gemma":[0.00001352137,0.0000393158,0.0004868796,0.000005172642,0.00001017354,0.00005299983,0.000004782096,0.9878293,0.005759564,0.005248393,0.0005287443,0.00002123214],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01200506,0.00007988835,0.9865574,0.00006822364,0.00003280876,0.00003747282,0.00002891488,0.000739366,0.0004508474],"genre_scores_gemma":[0.6222183,0.0001468246,0.37622,0.00008922745,0.00006096191,0.0001115036,0.0001298182,0.00009749252,0.0009259267],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00334431,"threshold_uncertainty_score":0.01768661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01137683464918741,"score_gpt":0.239733748146096,"score_spread":0.2283569134969086,"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."}}