{"id":"W1663565304","doi":"10.5555/2147671.2147714","title":"Cross-layer cluster-based data dissemination for failure detection in MANETs","year":2011,"lang":"en","type":"article","venue":"Conference on Network and Service Management","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Innovation, Science and Economic Development Canada","funders":"","keywords":"Computer science; Computer network; Gossip; Node (physics); Network layer; Overhead (engineering); Dissemination; Distributed computing; Wireless sensor network; Flooding (psychology); Layer (electronics); 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":[0.002171249,0.0003789114,0.0005464473,0.0009634739,0.0006077123,0.0008219026,0.001061852,0.0006409312,0.001084987],"category_scores_gemma":[0.005310286,0.0003335547,0.0003222629,0.0009312366,0.0005230298,0.001195685,0.001030947,0.0006392463,0.0002988692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006067482,"about_ca_system_score_gemma":0.000531837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00186112,"about_ca_topic_score_gemma":0.001463555,"domain_scores_codex":[0.9990414,0.0003457726,0.00009001533,0.000131991,0.0003233456,0.00006743881],"domain_scores_gemma":[0.9976619,0.001076355,0.0002365379,0.0004955547,0.0004348047,0.00009474767],"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":[0.001152294,0.0002961954,0.00493655,0.0006375713,0.0003252013,0.0004700979,0.0007897289,0.4828776,0.08153936,0.033655,0.00714528,0.3861751],"study_design_scores_gemma":[0.00004013408,0.0002099233,0.0008777921,0.00001673149,0.00004558355,0.0001861032,0.00004230329,0.9780847,0.01302178,0.00340884,0.004036669,0.00002948456],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04664985,0.001360161,0.9476327,0.0002460033,0.0001058998,0.0001891059,0.00004995687,0.002156006,0.001610336],"genre_scores_gemma":[0.810392,0.0006800882,0.1862771,0.0001162826,0.00005636073,0.0001561024,0.0001424683,0.00008634181,0.002093304],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002171249,"threshold_uncertainty_score":0.01148278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05737429989536456,"score_gpt":0.2902060172202093,"score_spread":0.2328317173248447,"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."}}