{"id":"W4233971796","doi":"10.1002/wcm.784","title":"A distributed MAC scheme supporting voice services in mobile<i>ad hoc</i>networks","year":2009,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Computer science; Computer network; Jitter; Reservation; Wireless ad hoc network; Mobile ad hoc network; Network packet; Transmission (telecommunications); Real-time computing; Wireless; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008375547,0.0003827645,0.0004016774,0.0005231699,0.0007162007,0.0007160871,0.001242029,0.0004340844,0.000925645],"category_scores_gemma":[0.001443793,0.0001603871,0.0002707361,0.0002309899,0.0006257384,0.0006143308,0.0007371749,0.0006448019,0.000268628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005240461,"about_ca_system_score_gemma":0.0004245644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004953126,"about_ca_topic_score_gemma":0.0004473233,"domain_scores_codex":[0.999649,0.0001114839,0.00002441186,0.00006815946,0.0000949669,0.00005185467],"domain_scores_gemma":[0.9990354,0.0002179053,0.0001092977,0.0002004604,0.0003356143,0.0001013833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00152742,0.0005298092,0.002182546,0.0003486396,0.0001370415,0.0007821743,0.0007597059,0.07935844,0.4488642,0.05754371,0.007411409,0.400555],"study_design_scores_gemma":[0.0002958768,0.00137173,0.001016698,0.0000411422,0.0001290025,0.0009266056,0.0001231062,0.9035947,0.06708593,0.01030498,0.01502031,0.0000899646],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1341288,0.001439319,0.8559625,0.000373341,0.0004111014,0.0001868143,0.00003810061,0.001486799,0.005973239],"genre_scores_gemma":[0.9007794,0.000169169,0.09624432,0.0001076074,0.000151146,0.00008164743,0.00004904818,0.00003135792,0.002386205],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001242029,"threshold_uncertainty_score":0.00442946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01347092837065938,"score_gpt":0.2911408189835704,"score_spread":0.277669890612911,"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."}}