{"id":"W2105054553","doi":"10.1109/glocom.2006.488","title":"WSN05-1: A Dual Busy-Tone MAC Scheme Supporting Voice/Data Traffic in Wireless Ad Hoc Networks","year":2006,"lang":"en","type":"article","venue":"Globecom","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Computer network; Wireless ad hoc network; Dual (grammatical number); Scheme (mathematics); Tone (literature); Wireless; 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":[0.0009944492,0.0003502225,0.0004666526,0.0001222673,0.0001870212,0.0004077813,0.00215699,0.0002328865,0.00004615063],"category_scores_gemma":[0.00001738873,0.0003521059,0.00009197579,0.0009861082,0.00007648089,0.0008272502,0.001126949,0.0005083474,0.00008584896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009038878,"about_ca_system_score_gemma":0.0001505815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002588897,"about_ca_topic_score_gemma":0.002440911,"domain_scores_codex":[0.9965886,0.0001476011,0.0007970955,0.001007728,0.0003659615,0.001093023],"domain_scores_gemma":[0.9977051,0.0001478629,0.000313728,0.001606946,0.00006370757,0.0001626437],"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":[0.00008768723,0.0006319053,0.01423178,0.00009862873,0.00004606165,0.0007150061,0.0002699109,0.03480266,0.0001563356,0.007630993,0.04077348,0.9005556],"study_design_scores_gemma":[0.001270024,0.00008817502,0.0100137,0.0001609438,0.000007304067,0.00007040494,0.00003867245,0.9608021,0.00005298542,0.0004521619,0.02644428,0.0005992427],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.780299,0.002658285,0.2063726,0.002119655,0.001051366,0.0053899,0.00004869349,0.0007927241,0.001267811],"genre_scores_gemma":[0.9756638,0.000069703,0.02188876,0.0004247261,0.0007920552,0.0006140691,0.0001779067,0.0000430891,0.0003259368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9259995,"threshold_uncertainty_score":0.9998931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02079651927425216,"score_gpt":0.2905020568914703,"score_spread":0.2697055376172182,"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."}}