{"id":"W2133664550","doi":"10.1109/icdcsw.2007.72","title":"Secure Multipath Routing Protocol for Wireless Sensor Networks","year":2007,"lang":"en","type":"article","venue":"","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer network; Computer science; Zone Routing Protocol; Routing protocol; Enhanced Interior Gateway Routing Protocol; Wireless Routing Protocol; Interior gateway protocol; Dynamic Source Routing; Path vector protocol; Link-state routing protocol; Hazy Sighted Link State Routing Protocol; Distributed computing; Routing (electronic design automation)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001076443,0.0003033943,0.0002732874,0.0001127121,0.0003079876,0.0002082967,0.0009630352,0.0002329752,0.00001122072],"category_scores_gemma":[0.00004309706,0.0002608993,0.0001552988,0.0005837381,0.00005295899,0.0002789365,0.0002664603,0.0002720426,0.00001178134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007998561,"about_ca_system_score_gemma":0.00003919824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002288537,"about_ca_topic_score_gemma":0.00007022669,"domain_scores_codex":[0.9972766,0.00005632111,0.0005273649,0.0007259026,0.0003531526,0.001060639],"domain_scores_gemma":[0.998024,0.0005645849,0.0002146636,0.0007505813,0.0002236108,0.000222593],"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":[0.0001446722,0.0003658954,0.001872472,0.00006739271,0.00004488203,0.00007235597,0.0006111514,0.6892295,0.0008411297,0.1981692,0.003400255,0.1051811],"study_design_scores_gemma":[0.001262882,0.00009442971,0.0002723644,0.00005823043,0.000003104003,0.00001761577,0.00004807055,0.9848002,0.003413617,0.00004988657,0.009604421,0.0003751707],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001373427,0.000002494706,0.9348682,0.000135843,0.0003518352,0.05894186,6.244891e-7,0.0007051675,0.003620573],"genre_scores_gemma":[0.4175677,5.24694e-7,0.5013234,0.001009111,0.001099621,0.07706448,0.000006413421,0.00008102338,0.001847733],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4335448,"threshold_uncertainty_score":0.9999843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02035578120279448,"score_gpt":0.2928185003355201,"score_spread":0.2724627191327257,"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."}}