{"id":"W2019996569","doi":"10.1109/ccece.2012.6335039","title":"A secure mechanism for QoS routing in wireless sensor networks","year":2012,"lang":"en","type":"article","venue":"","topic":"Security in Wireless Sensor Networks","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer network; Computer science; Wireless sensor network; Key distribution in wireless sensor networks; Encryption; Quality of service; Network packet; Distributed computing; Geographic routing; Routing protocol; Wireless network; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006396371,0.0002515132,0.0003057028,0.0001188461,0.0001307978,0.0001443181,0.0007846196,0.0002538375,0.0000154167],"category_scores_gemma":[0.00005219614,0.0002423052,0.000114138,0.0005085108,0.0000255585,0.0006411129,0.0002705002,0.0003288898,0.00002473228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009226955,"about_ca_system_score_gemma":0.00002404104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005999169,"about_ca_topic_score_gemma":0.00007392322,"domain_scores_codex":[0.9976918,0.0001003142,0.0003871618,0.0004364625,0.0002499861,0.001134243],"domain_scores_gemma":[0.9985401,0.0004350621,0.000120472,0.000601416,0.0001026006,0.0002003315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008030858,0.0001049669,0.001504841,0.00001394801,0.00001440303,0.000006094931,0.001215912,0.001394649,0.0002149659,0.9899686,0.0006513491,0.004902218],"study_design_scores_gemma":[0.0005644917,0.00003757491,0.0002849417,0.00004317894,0.000005878002,0.00003177624,0.0002061765,0.9941933,0.001672149,0.002328643,0.0002600057,0.0003719538],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07385978,0.0000646181,0.921497,0.0005852173,0.001910625,0.0005413371,0.000001438056,0.0003492692,0.001190738],"genre_scores_gemma":[0.9371415,0.00001606775,0.06048394,0.001065596,0.001049321,0.00006847107,0.000004052347,0.00002951965,0.0001415026],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9927986,"threshold_uncertainty_score":0.9880921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0172783296271945,"score_gpt":0.2464243090616804,"score_spread":0.2291459794344859,"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."}}