{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001417766,0.0003353612,0.0003537885,0.00008837127,0.0002372439,0.0001958959,0.001188573,0.0002345643,0.00002556082],"category_scores_gemma":[0.00002195483,0.000305896,0.0001894811,0.0003921711,0.00005490529,0.0004197998,0.0004153677,0.0002226803,0.00003466803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001173959,"about_ca_system_score_gemma":0.00006255873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003349732,"about_ca_topic_score_gemma":0.0002799848,"domain_scores_codex":[0.9969659,0.00005287209,0.0005622441,0.0008144864,0.0004171864,0.001187257],"domain_scores_gemma":[0.998108,0.0003057478,0.0001900801,0.0008880615,0.0001469429,0.0003611228],"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":[0.0003457422,0.001855816,0.0003420988,0.00009419413,0.0003963603,0.0001806303,0.001986194,0.233346,0.0007683412,0.4751275,0.05876888,0.2267883],"study_design_scores_gemma":[0.001282669,0.0001806508,0.0004678905,0.00002638685,0.00001118683,0.000008054825,0.00004236314,0.9932639,0.001605443,0.0007314383,0.001963663,0.0004163373],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0005396058,0.00008729494,0.9948911,0.0003211595,0.001705645,0.001098834,0.000002076702,0.0004593906,0.0008948739],"genre_scores_gemma":[0.9520279,0.00003492213,0.0432674,0.001666193,0.0007406004,0.000234355,0.0000105752,0.00004452614,0.001973541],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9516237,"threshold_uncertainty_score":0.9999393,"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."}}