{"id":"W2045503145","doi":"10.1002/wcm.930","title":"Cross‐layer optimization for CDMA/TDD wireless mesh networks","year":2010,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Wireless mesh network; Computer network; Cross-layer optimization; Hazy Sighted Link State Routing Protocol; Scheduling (production processes); Signal-to-interference-plus-noise ratio; Network packet; Wireless network; Wireless; Routing protocol; Dynamic Source Routing; Telecommunications; Mathematical optimization","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":[0.001887021,0.0008590574,0.0005947854,0.0004692752,0.0003177677,0.0007907656,0.0007000086,0.0007102909,0.002092407],"category_scores_gemma":[0.002082028,0.0004778033,0.0004229913,0.0005104255,0.0005326399,0.0007123275,0.001072629,0.0007326888,0.0003077569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001144437,"about_ca_system_score_gemma":0.0008751692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003107073,"about_ca_topic_score_gemma":0.001561028,"domain_scores_codex":[0.9995295,0.0002269147,0.00001701748,0.00006372923,0.000112942,0.00004992218],"domain_scores_gemma":[0.999239,0.0004976229,0.00008039698,0.00003030944,0.0001291845,0.00002342016],"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":[0.00002327355,0.00001526954,0.000168815,0.00002300209,0.00002070565,0.00001336673,0.00001129154,0.9837482,0.0006722059,0.004311615,0.0004285912,0.01056358],"study_design_scores_gemma":[0.000003165035,0.000006058532,0.00002154177,0.000001164728,0.000001982316,0.000002381675,0.000001512886,0.9990867,0.000108556,0.0006261084,0.0001397446,0.000001026633],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01447943,0.0005035871,0.9820639,0.0002279954,0.00005096474,0.00003051424,0.00002921608,0.000110428,0.002503936],"genre_scores_gemma":[0.5907532,0.0006927478,0.4007547,0.0002919227,0.0000856326,0.0002913479,0.0001760749,0.000156657,0.006797763],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003107073,"threshold_uncertainty_score":0.009979665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01879764705768815,"score_gpt":0.2881143279822159,"score_spread":0.2693166809245278,"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."}}