{"id":"W2150432689","doi":"10.1109/wcnc.2010.5506611","title":"Secondary Wireless Mesh Network Design Using Leased Frequency Spectra","year":2010,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Wireless mesh network; Greedy algorithm; Node (physics); Mathematical optimization; Routing (electronic design automation); Optimization problem; Interference (communication); Computer network; Distributed computing; Channel (broadcasting); Wireless; Wireless network; Algorithm; Engineering; Mathematics; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006604492,0.0002311423,0.0002391647,0.0000557524,0.0002288724,0.0002745065,0.001331729,0.0001641041,0.001149584],"category_scores_gemma":[0.00001320688,0.0002156183,0.00008882882,0.0005600321,0.00008068821,0.000673318,0.000215375,0.00065217,0.0001420855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000401665,"about_ca_system_score_gemma":0.0003056307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001013238,"about_ca_topic_score_gemma":0.0001424224,"domain_scores_codex":[0.998025,0.0001301689,0.0003102472,0.0005765948,0.0002844929,0.0006735094],"domain_scores_gemma":[0.9983084,0.0001989865,0.0001097544,0.001093553,0.00006886495,0.0002204733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001074166,0.0001147132,0.001067021,0.00001637338,0.00005953126,0.0001984005,0.0002295898,0.01159539,0.05093995,0.837458,0.01440526,0.0839051],"study_design_scores_gemma":[0.0003538959,0.00006371825,0.0008167756,0.00001836826,0.00001007402,0.00009255653,0.00000542259,0.9610825,0.005310219,0.03118663,0.0006108692,0.0004490005],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0207263,0.00006525365,0.9631546,0.0001518973,0.001716871,0.000310099,5.1064e-7,0.0004153526,0.01345911],"genre_scores_gemma":[0.4590167,0.000004706721,0.5394994,0.0005938678,0.0006631808,0.00001144203,0.000001086796,0.00001958633,0.0001900685],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9494871,"threshold_uncertainty_score":0.9997635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01969400075387166,"score_gpt":0.2353867430149497,"score_spread":0.2156927422610781,"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."}}