{"id":"W2424113023","doi":"10.1109/maes.2016.150117","title":"Aggressive congestion control mechanism for space systems","year":2016,"lang":"en","type":"article","venue":"IEEE Aerospace and Electronic Systems Magazine","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Spacecraft; Space (punctuation); The Internet; Space exploration; NASA Deep Space Network; Computer science; Space technology; Space environment; Satellite; Point (geometry); Aerospace engineering; Deep space exploration; Systems engineering; Engineering; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007122962,0.0003792238,0.0006404251,0.00009653335,0.0002261898,0.0003882724,0.0005132973,0.0002123566,0.000001322509],"category_scores_gemma":[0.00009982612,0.0002626834,0.000106642,0.000243531,0.00006165002,0.0005967242,0.0000392709,0.0001360476,0.00009284368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002326157,"about_ca_system_score_gemma":0.0001761609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000109111,"about_ca_topic_score_gemma":0.00004278902,"domain_scores_codex":[0.9971588,0.0001553269,0.0004860105,0.0007885995,0.0003694548,0.001041858],"domain_scores_gemma":[0.9977551,0.0002894022,0.0005922145,0.0006879277,0.0004542839,0.0002211109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008770367,0.00005698332,0.0001498666,0.0002551547,0.0001828192,0.00002449422,0.0001113989,0.0003222883,0.05982047,0.9178315,0.0186848,0.002472516],"study_design_scores_gemma":[0.0474524,0.007154467,0.001245096,0.00762443,0.0004816599,0.003937691,0.0005027868,0.4874368,0.01566545,0.01545785,0.4070404,0.006001012],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01098984,0.006034689,0.97567,0.002559897,0.002506041,0.001584379,0.0001021709,0.0003057516,0.0002472032],"genre_scores_gemma":[0.9918857,0.0003915325,0.0001332372,0.00008789139,0.0004689002,0.0005834514,0.00000490629,0.00003402755,0.006410353],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9808959,"threshold_uncertainty_score":0.9999825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007366151805799662,"score_gpt":0.2171511129283301,"score_spread":0.2097849611225305,"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."}}