{"id":"W2146954976","doi":"10.1109/icc.2007.621","title":"Partially Overlapped Channel Assignment for Multi-Channel Wireless Mesh Networks","year":2007,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Channel (broadcasting); Wireless mesh network; Channel allocation schemes; Router; Computer network; Linear programming; Interference (communication); Scheduling (production processes); Integer programming; Wireless; Computation; Wireless network; Algorithm; Topology (electrical circuits); Mathematical optimization; Mathematics; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006584812,0.0004106635,0.0002988241,0.0003004172,0.0003364987,0.0004598268,0.0005361708,0.0003425659,0.001262951],"category_scores_gemma":[0.001610331,0.0002561143,0.0003530513,0.0004707544,0.0004585547,0.0009932469,0.0005106647,0.0005039049,0.000165546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005991192,"about_ca_system_score_gemma":0.0008945906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002966388,"about_ca_topic_score_gemma":0.003382022,"domain_scores_codex":[0.9993014,0.0003640094,0.00001514792,0.00006427427,0.0001847564,0.00007031928],"domain_scores_gemma":[0.9993967,0.0003391921,0.00008568467,0.00006841699,0.0000797084,0.00003032447],"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":[0.0000555612,0.00002749836,0.0002345153,0.00006321038,0.0000225638,0.00004904951,0.00004431939,0.9391961,0.00318181,0.01809748,0.0006882909,0.0383396],"study_design_scores_gemma":[0.000004920386,0.00002114069,0.00004409974,0.000003678086,0.000004622866,0.00001215577,0.000008517848,0.9923644,0.0005206126,0.006351918,0.0006603029,0.000003656486],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01653139,0.000403695,0.9814227,0.0001105822,0.00002802821,0.00002315078,0.00003369537,0.000167253,0.001279635],"genre_scores_gemma":[0.8471715,0.0008113489,0.1492852,0.00007680543,0.00007122599,0.0001678792,0.0001101563,0.00005891893,0.00224704],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002966388,"threshold_uncertainty_score":0.005898237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03128665736137442,"score_gpt":0.2707165827896383,"score_spread":0.2394299254282639,"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."}}