{"id":"W2098196548","doi":"10.1109/vetecf.2007.75","title":"Performance Evaluation of A Multiuser Detection Based MAC Design for Ad Hoc Networks","year":2007,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Conference","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Code division multiple access; Wireless ad hoc network; Multiuser detection; Bandwidth (computing); Computer network; Key (lock); Interference (communication); Electronic engineering; Wireless; Telecommunications; Engineering; Computer security; Channel (broadcasting)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004189855,0.0008410513,0.0006052941,0.001098362,0.0003991193,0.0009496228,0.0007900056,0.0008532851,0.0008853172],"category_scores_gemma":[0.00904371,0.0002477064,0.0002754742,0.0005104393,0.0003720828,0.0007691057,0.0004086613,0.0004669266,0.0002771639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001104523,"about_ca_system_score_gemma":0.0006596561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006075111,"about_ca_topic_score_gemma":0.0005043189,"domain_scores_codex":[0.9957932,0.001839577,0.0001958046,0.0002816218,0.001689626,0.0002002765],"domain_scores_gemma":[0.9936423,0.003220504,0.000492083,0.0004993774,0.002001478,0.0001442079],"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":[0.002612628,0.0008023387,0.007086945,0.000775968,0.0004228355,0.0002143681,0.0002760287,0.5801104,0.1508858,0.01097215,0.001403746,0.2444369],"study_design_scores_gemma":[0.00008235554,0.003721674,0.001834385,0.00002689803,0.0001294063,0.0003077668,0.00003107137,0.9459714,0.04464724,0.0009538545,0.002259446,0.00003450825],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3800644,0.002569798,0.6073248,0.000263442,0.0001807062,0.0005322953,0.00009422409,0.0008454534,0.008124973],"genre_scores_gemma":[0.870793,0.0004337747,0.1265246,0.00008897259,0.00006415547,0.0002046733,0.00008057035,0.00005260703,0.001757644],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004189855,"threshold_uncertainty_score":0.02215832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07306106984243083,"score_gpt":0.3190660912678346,"score_spread":0.2460050214254038,"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."}}