{"id":"W2117133902","doi":"10.1109/euc.2008.125","title":"Key Management for Wireless Sensor Networks Using Trusted Neighbors","year":2008,"lang":"en","type":"article","venue":"","topic":"Security in Wireless Sensor Networks","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Wireless sensor network; Computer network; Key distribution in wireless sensor networks; Exploit; Key (lock); Software deployment; Wireless; Wireless network; Secure communication; Scheme (mathematics); Key management; Set (abstract data type); Distributed computing; Computer security; Telecommunications; Encryption","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":[0.0001944839,0.0002848758,0.0003160289,0.0001513195,0.0004086589,0.0001270582,0.0009924644,0.0001618909,0.00002479692],"category_scores_gemma":[0.000008088516,0.0002770479,0.0001630692,0.0006614571,0.00009195197,0.0003730118,0.0003112457,0.0001780928,0.00001834302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001024654,"about_ca_system_score_gemma":0.00002629567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004107081,"about_ca_topic_score_gemma":0.000008696785,"domain_scores_codex":[0.9977877,0.00006860421,0.0003969637,0.0006553782,0.0003474497,0.000743909],"domain_scores_gemma":[0.9984835,0.0002089202,0.0001305499,0.0008778027,0.000126078,0.0001731157],"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":[0.0001122046,0.000428493,0.001995726,0.0001291099,0.0004060622,0.0006059821,0.002245085,0.529848,0.0002669383,0.3913665,0.01669383,0.05590215],"study_design_scores_gemma":[0.0007419313,0.00004227289,0.0004241655,0.00002749092,0.0000173242,0.0001165109,0.00007232845,0.994876,0.0002971905,0.0003305368,0.002674571,0.000379714],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09556732,0.00009155936,0.8983904,0.0002503433,0.0009696883,0.0006321513,0.000001508154,0.0005071004,0.003589891],"genre_scores_gemma":[0.7346271,0.000108461,0.2631404,0.0009475368,0.00032949,0.00003155895,0.00000586074,0.00003676012,0.000772834],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6390598,"threshold_uncertainty_score":0.9999682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03199362567525862,"score_gpt":0.2477904683560343,"score_spread":0.2157968426807757,"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."}}