{"id":"W4232994866","doi":"10.1002/wcm.453","title":"Enhancing channel utilization by improving media access coordination in wireless local area networks","year":2006,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Distributed coordination function; Computer science; Throughput; Network packet; Computer network; Carrier sense multiple access with collision avoidance; Overhead (engineering); Channel (broadcasting); Transmission (telecommunications); Wireless; IEEE 802.11; Telecommunications","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":[0.0009030926,0.0002856025,0.0003689427,0.0002053024,0.0007159646,0.0005940525,0.001893908,0.0001911128,0.000002244772],"category_scores_gemma":[0.00001288388,0.0003070834,0.00005528361,0.001013766,0.0001796853,0.001030367,0.001901211,0.0004428156,0.000001201751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001237058,"about_ca_system_score_gemma":0.00006772141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009017522,"about_ca_topic_score_gemma":0.0009319682,"domain_scores_codex":[0.9976093,0.0002830238,0.000732458,0.0005635759,0.0002345488,0.0005771532],"domain_scores_gemma":[0.99751,0.0006453184,0.0003792982,0.001182716,0.0001807657,0.0001019394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009182441,0.0003209992,0.002823804,0.00007575757,0.00001164677,0.000003805978,0.0008189326,0.04939168,0.001364618,0.02262736,0.0003631669,0.9221891],"study_design_scores_gemma":[0.000545298,0.00003705197,0.001600372,0.0002661782,0.000005310289,0.000007787045,0.0001412844,0.995059,0.0008186264,0.0004975621,0.0006827392,0.0003388217],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06470921,0.001600361,0.9311217,0.0002630419,0.0001456857,0.001744813,0.000003654733,0.0002133417,0.0001982044],"genre_scores_gemma":[0.9954539,0.0002417677,0.003036625,0.00009856668,0.0001008317,0.0008899257,0.0001307982,0.00002950475,0.00001810748],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9456673,"threshold_uncertainty_score":0.9999381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02539976661365084,"score_gpt":0.2809466379454712,"score_spread":0.2555468713318204,"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."}}