{"id":"W2110203913","doi":"10.1109/ccnc.2006.1593060","title":"OSPF-MCDS-MC: a routing protocol for multi-channel wireless ad-hoc networks","year":2006,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Office of Naval Research","keywords":"Computer network; Computer science; Wireless Routing Protocol; Routing protocol; Zone Routing Protocol; Distributed computing; Dynamic Source Routing; Goodput; Optimized Link State Routing Protocol; Link-state routing protocol; Enhanced Interior Gateway Routing Protocol; Wireless ad hoc network; Open Shortest Path First; Interior gateway protocol; Hazy Sighted Link State Routing Protocol; Routing (electronic design automation); Wireless; Throughput; 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":[0.0007319326,0.0003468608,0.0004086558,0.0007351201,0.0006341865,0.0007904985,0.0008167528,0.0005316759,0.001002177],"category_scores_gemma":[0.001114898,0.0001642902,0.0002766758,0.0007531145,0.0005369781,0.001338417,0.0006962094,0.0006026492,0.0002817468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005175089,"about_ca_system_score_gemma":0.0009684275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008383776,"about_ca_topic_score_gemma":0.001306047,"domain_scores_codex":[0.999558,0.000115013,0.00003869149,0.00003436878,0.0002081363,0.00004568068],"domain_scores_gemma":[0.9994574,0.0001097336,0.00008244826,0.0001279086,0.0001695196,0.00005290056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002917158,0.0002572898,0.001991706,0.0008127471,0.0001401627,0.0008441969,0.0003084902,0.1134122,0.04934523,0.1625703,0.034857,0.635169],"study_design_scores_gemma":[0.0001884294,0.0007749139,0.001521894,0.0001041202,0.0001362841,0.001764165,0.0001348083,0.6443941,0.04737211,0.06736688,0.2360636,0.0001786175],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03624181,0.002828795,0.9487002,0.0006661853,0.0005594376,0.0003226315,0.0003416084,0.002509429,0.007829844],"genre_scores_gemma":[0.4807878,0.002187161,0.509313,0.000352905,0.0003286175,0.0003643401,0.0008325251,0.00009918863,0.00573436],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001002177,"threshold_uncertainty_score":0.003870845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03099141578946789,"score_gpt":0.2899252427228461,"score_spread":0.2589338269333782,"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."}}