{"id":"W6912379949","doi":"10.5281/zenodo.2641394","title":"An Efficient Key Agreement Scheme for Wireless sensor Networks Using Third Parties","year":2013,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Security in Wireless Sensor Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Wireless sensor network; Resilience (materials science); Node (physics); Network packet; Key distribution in wireless sensor networks; Scheme (mathematics); Key (lock)","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":[0.003704825,0.0006236919,0.001011245,0.000616695,0.001303581,0.00150413,0.002015882,0.001308859,0.002080853],"category_scores_gemma":[0.004953776,0.0003752069,0.0008132717,0.001348529,0.001290452,0.00399089,0.005116229,0.002130723,0.000913801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000681014,"about_ca_system_score_gemma":0.001597292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002287936,"about_ca_topic_score_gemma":0.0002551949,"domain_scores_codex":[0.9965298,0.001301182,0.0002883284,0.0003361452,0.001272558,0.0002721022],"domain_scores_gemma":[0.9970305,0.000940404,0.0003487061,0.001171094,0.0003920976,0.0001170999],"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":[0.0009403823,0.0002372794,0.0005326925,0.0006165614,0.0002163176,0.0004876126,0.0007282526,0.07100661,0.0817318,0.6094362,0.00504716,0.2290192],"study_design_scores_gemma":[0.0005946736,0.00087956,0.0004536637,0.0001009455,0.0002061617,0.0009855302,0.0001536776,0.6538733,0.0642299,0.2215705,0.05674789,0.0002042622],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008143742,0.000326401,0.9893529,0.0001777764,0.0001058102,0.0001481239,0.00004730859,0.0002181535,0.001479766],"genre_scores_gemma":[0.5603258,0.0008573383,0.4307321,0.0002436616,0.0001546438,0.0008122541,0.00029043,0.00008263964,0.006501144],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003704825,"threshold_uncertainty_score":0.01959324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03651182222086603,"score_gpt":0.2505082368529689,"score_spread":0.2139964146321028,"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."}}