{"id":"W2149187114","doi":"10.1109/t-wc.2008.071449","title":"Multiuser detection based MAC design for Ad Hoc networks","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Multiuser detection; Wireless ad hoc network; Code division multiple access; Computer network; Scheduling (production processes); Distributed computing; Multiple Access with Collision Avoidance for Wireless; Time division multiple access; Wireless; Vehicular ad hoc network; Random access; Channel access method; Access control; Spread spectrum; Ad hoc wireless distribution service; Optimized Link State Routing Protocol; 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","sts"],"consensus_categories":[],"category_scores_codex":[0.0007340985,0.0003505599,0.0003482551,0.0004900434,0.002812343,0.0001700487,0.005160811,0.0002692592,0.0000203941],"category_scores_gemma":[0.00002364179,0.0003842526,0.0002976784,0.001522362,0.0004399494,0.0006701141,0.00004588547,0.0009952341,0.00007196555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002779793,"about_ca_system_score_gemma":0.0002842706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002516677,"about_ca_topic_score_gemma":0.0002504041,"domain_scores_codex":[0.9967263,0.0009466854,0.000617443,0.0005946362,0.0004762477,0.0006386605],"domain_scores_gemma":[0.9896153,0.003063178,0.0002102222,0.006301573,0.0005531098,0.0002566495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001552335,0.001160461,0.000008076256,0.00001711021,0.0001005346,0.000002438667,0.0004972867,0.616536,0.001883726,0.0009067367,0.0006070789,0.3781253],"study_design_scores_gemma":[0.001141508,0.0002153858,0.0001133961,0.00004756417,0.00001974262,0.00001891991,0.00002289613,0.9798251,0.01134303,0.0001042926,0.006757586,0.0003905415],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001005711,0.000816918,0.992883,0.002636951,0.0003513812,0.001419974,0.00001936469,0.0007478471,0.0001188397],"genre_scores_gemma":[0.7945483,0.003837194,0.1989281,0.0003270341,0.00002490094,0.001970559,0.00001548852,0.0000585095,0.000289911],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7939549,"threshold_uncertainty_score":0.9998609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08436213201384044,"score_gpt":0.3051988338637415,"score_spread":0.2208367018499011,"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."}}