{"id":"W2125880075","doi":"10.1109/lcn.2008.4664292","title":"CDMA/MPLS platforms for WIMAX mesh networks","year":2008,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer network; Time division multiple access; Computer science; WiMAX; Code division multiple access; Transmitter; Multi-frequency time division multiple access; Frequency-division multiple access; Network packet; Wireless; Telecommunications; MIMO; MIMO-OFDM; Orthogonal frequency-division multiplexing","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":[0.000375742,0.0003694952,0.0001961449,0.0005146242,0.0004222371,0.0009359434,0.0006068222,0.0005276504,0.01848496],"category_scores_gemma":[0.0006898557,0.000206715,0.0001683761,0.000503793,0.0002543671,0.0008583361,0.0005681214,0.001025275,0.006435202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006136622,"about_ca_system_score_gemma":0.0003744124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005600954,"about_ca_topic_score_gemma":0.0008978957,"domain_scores_codex":[0.9997404,0.00005118972,0.000009636341,0.00002110791,0.0001537949,0.00002386815],"domain_scores_gemma":[0.9997823,0.00004859611,0.00002240339,0.00004833118,0.00007782079,0.0000205847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002746394,0.0001964461,0.0007633937,0.0003799215,0.00002500709,0.0003882975,0.0001567987,0.01865601,0.1282607,0.3410802,0.05159015,0.4582285],"study_design_scores_gemma":[0.00007052442,0.0003937761,0.001032172,0.0001332877,0.00003795903,0.0005062394,0.00009108617,0.1997446,0.09079102,0.0951629,0.6119718,0.00006460948],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01688287,0.00420732,0.8552473,0.001760527,0.0006497613,0.0003943231,0.0005765999,0.007209834,0.1130713],"genre_scores_gemma":[0.2460678,0.005506398,0.6193054,0.0005725087,0.0005286732,0.0005641257,0.00118436,0.0007311273,0.1255396],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01848496,"threshold_uncertainty_score":0.06183833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02338497950583222,"score_gpt":0.2361372986265572,"score_spread":0.212752319120725,"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."}}