{"id":"W2146779403","doi":"10.1109/iwcmc.2011.5982506","title":"MBP: Routing Metric Based on Probabilities for multi-radio multi-channel wireless mesh networks","year":2011,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Metrics; Wireless mesh network; Metric (unit); Throughput; Computer network; Channel (broadcasting); Network packet; Routing (electronic design automation); Routing protocol; Interference (communication); Dynamic Source Routing; Flow (mathematics); Flow routing; Wireless; Performance metric; Packet loss; Distributed computing; Wireless network; Telecommunications; Mathematics; Engineering","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":[0.001367942,0.001086194,0.001020625,0.001774715,0.0004771184,0.001257578,0.0013949,0.0009784362,0.001067112],"category_scores_gemma":[0.009321274,0.0003304112,0.0004199634,0.001883316,0.0004497795,0.002612883,0.001146003,0.0009638218,0.0004009372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006812834,"about_ca_system_score_gemma":0.0006434188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007195978,"about_ca_topic_score_gemma":0.0005666756,"domain_scores_codex":[0.9981153,0.0006916455,0.0001602523,0.000165248,0.0007958328,0.00007170146],"domain_scores_gemma":[0.9972669,0.001353434,0.0006045657,0.0002149134,0.0004564122,0.0001038324],"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":[0.000507499,0.0001316435,0.004523678,0.001166082,0.000252438,0.0003058459,0.0001654603,0.5205158,0.0207213,0.07942555,0.01301217,0.3592725],"study_design_scores_gemma":[0.00003831822,0.0004333879,0.002520943,0.00008484307,0.00007320643,0.000852889,0.00005104335,0.93695,0.008645761,0.02797903,0.02226679,0.0001038083],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01068733,0.002789658,0.9824948,0.0003628698,0.0003027798,0.0001287483,0.0004041482,0.0009840629,0.001845564],"genre_scores_gemma":[0.456094,0.002872175,0.5364571,0.0002167362,0.0003922657,0.0006749016,0.001266761,0.0002946203,0.00173142],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001774715,"threshold_uncertainty_score":0.007234454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06068608699810306,"score_gpt":0.255996420037605,"score_spread":0.195310333039502,"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."}}