{"id":"W2181695566","doi":"10.22215/etd/2006-07848","title":"Transport layer fairness and congestion control in wireless ad hoc access networks","year":2006,"lang":"en","type":"dissertation","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Canadian Heritage","funders":"","keywords":"Computer network; Computer science; Network congestion; Wireless ad hoc network; Telecommunications; Wireless","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":[0.004369855,0.0004764166,0.0006335685,0.0007155809,0.0009215539,0.002199711,0.001227071,0.0007704775,0.002091206],"category_scores_gemma":[0.01427965,0.0003568721,0.0002712818,0.0008568464,0.001597511,0.003272113,0.000880095,0.001540715,0.0002598609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002308768,"about_ca_system_score_gemma":0.001958984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005867329,"about_ca_topic_score_gemma":0.003587424,"domain_scores_codex":[0.9981186,0.0008788993,0.00008127889,0.0001904449,0.0004862736,0.0002445282],"domain_scores_gemma":[0.9930038,0.00526712,0.0003944001,0.0003248951,0.0007534339,0.0002562572],"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":[0.0008180571,0.0002451879,0.003289086,0.0002546416,0.0001037791,0.0003626126,0.0006064819,0.3138632,0.004660022,0.5468608,0.01015671,0.1187796],"study_design_scores_gemma":[0.0000510399,0.0001106823,0.0009000116,0.00004066129,0.00004400477,0.00008666329,0.00009314992,0.8023887,0.001143219,0.1870314,0.008076125,0.00003429678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.117009,0.01962896,0.8210649,0.00665664,0.003390809,0.0001874554,0.0001807841,0.0005121149,0.03136946],"genre_scores_gemma":[0.9616427,0.003706145,0.02075398,0.0002802798,0.001835691,0.0001099725,0.00004617453,0.00006312346,0.01156203],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.005867329,"threshold_uncertainty_score":0.02311027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009278421515642425,"score_gpt":0.249432293313432,"score_spread":0.2401538717977896,"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."}}