{"id":"W2111278228","doi":"10.1109/ccece.2006.277710","title":"Integrated Routing System for Wireless Mesh Networks","year":2006,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer network; Wireless mesh network; Computer science; Wireless ad hoc network; Open Shortest Path First; Backbone network; Distributed computing; Mobile ad hoc network; Shared mesh; Optimized Link State Routing Protocol; Mesh networking; Throughput; Switched mesh; Order One Network Protocol; Routing protocol; Wireless network; Routing (electronic design automation); Link-state routing protocol; Wireless; Wireless Routing Protocol; 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":[0.0009763253,0.0004936848,0.0007494942,0.001021367,0.0005983333,0.001515304,0.001315267,0.0009488717,0.01242493],"category_scores_gemma":[0.001611751,0.0003014461,0.0004684379,0.0008069763,0.0003349012,0.001397989,0.001378712,0.001026054,0.006308569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005811188,"about_ca_system_score_gemma":0.0007482711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007590924,"about_ca_topic_score_gemma":0.0008203306,"domain_scores_codex":[0.9991218,0.0002109126,0.00009270331,0.000150763,0.0003489612,0.00007487529],"domain_scores_gemma":[0.9994287,0.00006573267,0.00003941845,0.0001607011,0.0002671379,0.00003825022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000529287,0.0002073282,0.001087625,0.0006548896,0.0001755498,0.0004763648,0.0003476222,0.01917549,0.04443586,0.1713534,0.09068543,0.6708712],"study_design_scores_gemma":[0.0002676463,0.0009388739,0.001271793,0.0001841504,0.0003050853,0.001034765,0.0000990214,0.2295382,0.02735664,0.06211964,0.6767269,0.0001572277],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006282537,0.002256196,0.9443817,0.000539077,0.00144102,0.0005572247,0.0005999361,0.0165573,0.02738495],"genre_scores_gemma":[0.1711335,0.002777028,0.7511016,0.0008138567,0.0007860317,0.001512981,0.005617403,0.0009311929,0.06532633],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01242493,"threshold_uncertainty_score":0.0415656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01006399681788617,"score_gpt":0.2147500986311148,"score_spread":0.2046861018132286,"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."}}