{"id":"W2150604138","doi":"10.1109/infcom.2011.5935175","title":"Fully secure pairwise and triple key distribution in wireless sensor networks using combinatorial designs","year":2011,"lang":"en","type":"article","venue":"","topic":"Security in Wireless Sensor Networks","field":"Computer Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pairwise comparison; Combinatorial design; Key (lock); Computer science; Wireless sensor network; Key distribution; Wireless; Key generation; Computer network; Distributed computing; Theoretical computer science; Public-key cryptography; Mathematics; Encryption; Discrete mathematics; Computer security; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004973358,0.0002724153,0.0003374892,0.0000943437,0.000162797,0.0001629809,0.000541029,0.0002986288,0.00002127383],"category_scores_gemma":[0.00003570683,0.0002715662,0.00006464247,0.0006703571,0.0001142036,0.000536489,0.0002859654,0.0003979931,0.000005654331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001331735,"about_ca_system_score_gemma":0.00005755339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004178013,"about_ca_topic_score_gemma":0.00009795697,"domain_scores_codex":[0.9978356,0.0002744839,0.000414043,0.0005839988,0.0002758173,0.0006160801],"domain_scores_gemma":[0.9988887,0.0001507671,0.0001362441,0.0005219641,0.0001101383,0.0001921574],"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":[0.0004004769,0.001017421,0.03617272,0.00007780128,0.00009585518,0.0005501108,0.007957595,0.006496422,0.0009262577,0.9287502,0.002574672,0.01498053],"study_design_scores_gemma":[0.001403289,0.0001250445,0.002820408,0.00005492689,0.00001277052,0.00005944847,0.0001234182,0.988766,0.0008115271,0.005259319,0.000127472,0.0004363726],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4154333,0.0001044729,0.5823747,0.00005607886,0.00129876,0.00029442,0.000003944569,0.0001925318,0.0002417186],"genre_scores_gemma":[0.9850045,0.00004323449,0.01458414,0.00009699969,0.0002139841,0.000009187895,0.00001364445,0.00001888527,0.00001541857],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9822696,"threshold_uncertainty_score":0.9999737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04018127128670118,"score_gpt":0.2341599628031297,"score_spread":0.1939786915164285,"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."}}