{"id":"W1516596781","doi":"10.1109/icppw.2004.46","title":"High-throughput interference-aware MAC protocols for heterogeneous ad hoc networks and multihop wireless LANs","year":2004,"lang":"en","type":"article","venue":"Proceedings of the International Conference on Parallel Processing","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer network; Computer science; Multiple Access with Collision Avoidance for Wireless; Wireless ad hoc network; Throughput; Interference (communication); Power control; Wireless; Access control; Collision problem; Collision; Hidden node problem; Wireless network; Vehicular ad hoc network; Wi-Fi array; Power (physics); Telecommunications; Computer security","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":[0.0003024434,0.0003311227,0.000362375,0.00009617349,0.00027774,0.0007569363,0.002157965,0.0001530924,0.000007997984],"category_scores_gemma":[0.00004507806,0.0002476127,0.0001158465,0.0002129241,0.000168768,0.000728578,0.0005486824,0.0003170262,0.000001941999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001025095,"about_ca_system_score_gemma":0.0001680951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001387869,"about_ca_topic_score_gemma":0.00001576727,"domain_scores_codex":[0.9979172,0.00001030958,0.0005234109,0.0006652597,0.0004798594,0.0004039236],"domain_scores_gemma":[0.9982134,0.00005302601,0.0005930408,0.0002045425,0.0008337593,0.0001023099],"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":[0.001948806,0.000884835,0.002111258,0.001435828,0.0002987782,0.000008593564,0.003316526,0.0469174,0.008627143,0.5547658,0.000819542,0.3788655],"study_design_scores_gemma":[0.004891643,0.001098549,0.0005943347,0.00572577,0.00002909887,0.00008767446,0.0002291897,0.8606548,0.01884234,0.1050135,0.001841823,0.0009912569],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08029732,0.0002368887,0.8706204,0.01098141,0.0006610288,0.03528422,0.0000378108,0.0003619521,0.00151895],"genre_scores_gemma":[0.9676181,0.00005895888,0.01834359,0.0004062489,0.0001541961,0.01325185,0.000003868726,0.00002722179,0.0001359406],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8873208,"threshold_uncertainty_score":0.9999976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04607121612235224,"score_gpt":0.3054085193355731,"score_spread":0.2593373032132208,"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."}}