{"id":"W2112308604","doi":"10.1109/wimob.2006.1696388","title":"Distributed Channel Assignment Algorithm for 802.11 Networks","year":2006,"lang":"en","type":"article","venue":"","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Throughput; Network topology; Service set; Computer network; Channel (broadcasting); Set (abstract data type); Distributed computing; Algorithm; Distributed algorithm; IEEE 802.11; Wireless network; Wireless; Wi-Fi; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007491169,0.0005739065,0.0007507703,0.0006111201,0.0007271161,0.0009474339,0.001223261,0.0008036048,0.003654884],"category_scores_gemma":[0.002350624,0.0002612357,0.000255337,0.0009271589,0.0007075213,0.001128828,0.001002982,0.0008315464,0.0007620328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008594082,"about_ca_system_score_gemma":0.00132049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001800357,"about_ca_topic_score_gemma":0.00191621,"domain_scores_codex":[0.9993831,0.0001848342,0.00002370743,0.00009911953,0.00019701,0.0001122105],"domain_scores_gemma":[0.9994327,0.0002726439,0.00004954037,0.00005673216,0.0001450955,0.00004321309],"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":[0.0001880664,0.0001251607,0.0004556998,0.0000881366,0.00003552079,0.00008822389,0.0001072921,0.7490494,0.002540325,0.06245229,0.005040953,0.1798289],"study_design_scores_gemma":[0.00008109213,0.00003410421,0.00005825599,0.000006229048,0.000006909027,0.00003529144,0.00002114301,0.9741569,0.0006379029,0.02167938,0.003274713,0.000008000346],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006450609,0.0001800644,0.9899508,0.0001461694,0.00007236323,0.00005670811,0.00002661769,0.0005075495,0.002608971],"genre_scores_gemma":[0.3404382,0.0003814212,0.6516225,0.0001371946,0.00008345146,0.000496041,0.0001961219,0.000102683,0.006542327],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003654884,"threshold_uncertainty_score":0.01222682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01224748541383342,"score_gpt":0.2363624252662152,"score_spread":0.2241149398523818,"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."}}