{"id":"W2081191867","doi":"10.1145/1364654.1364671","title":"Fair and efficient scheduling in data ferrying networks","year":2007,"lang":"en","type":"article","venue":"","topic":"Opportunistic and Delay-Tolerant Networks","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Computer network; Digital subscriber line; Scheduling (production processes); The Internet; Distributed computing","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":[0.004437844,0.0007041097,0.0009397057,0.0008181051,0.001185151,0.001604188,0.002459647,0.0007370053,0.001271375],"category_scores_gemma":[0.008458806,0.0004438427,0.0002955869,0.001372723,0.001608138,0.002516226,0.001430148,0.0008199423,0.0002085955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003372087,"about_ca_system_score_gemma":0.002656966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006855151,"about_ca_topic_score_gemma":0.005571552,"domain_scores_codex":[0.9980212,0.0007014944,0.00008725408,0.0003320702,0.0004533881,0.0004045749],"domain_scores_gemma":[0.9956003,0.002620103,0.0004866392,0.0006429062,0.0003894857,0.0002605349],"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":[0.0003115375,0.0000764237,0.0005172978,0.00008254323,0.00002079853,0.00006633768,0.0001734483,0.8657118,0.002679246,0.09789808,0.001615677,0.03084681],"study_design_scores_gemma":[0.00004109371,0.0000427212,0.0001111584,0.000005839777,0.00000555857,0.00001701325,0.00003151624,0.9562451,0.0009804595,0.04102853,0.001481422,0.000009481227],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07669213,0.000575365,0.9175375,0.0003432113,0.00008346723,0.0001530689,0.0001553516,0.0004277438,0.004032147],"genre_scores_gemma":[0.872493,0.0003426006,0.1240304,0.00007228793,0.00008301679,0.0001373928,0.0001053212,0.00007496374,0.002661001],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006855151,"threshold_uncertainty_score":0.02446634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04570109716600006,"score_gpt":0.2813346440432765,"score_spread":0.2356335468772764,"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."}}