{"id":"W1528400844","doi":"10.1007/11693383_13","title":"Tree-Based Key Distribution Patterns","year":2006,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Security in Wireless Sensor Networks","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Key (lock); Tree (set theory); Probabilistic logic; Cover (algebra); Scheme (mathematics); Computer science; Upper and lower bounds; Row; Combinatorics; Mathematics; Discrete mathematics; Artificial intelligence","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":[0.0006500964,0.0007485194,0.0006430594,0.0005786554,0.0003030354,0.0008384666,0.004289085,0.0005914854,0.0000276483],"category_scores_gemma":[0.00005442755,0.0007395757,0.0002352712,0.0007313897,0.0006558254,0.0005132314,0.0009441789,0.001190428,0.00006559469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005580789,"about_ca_system_score_gemma":0.0004701712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001027161,"about_ca_topic_score_gemma":0.0003172007,"domain_scores_codex":[0.9947701,0.00006064465,0.0006881623,0.001972871,0.001477772,0.001030468],"domain_scores_gemma":[0.9963943,0.0006252422,0.0004002037,0.002066793,0.0002980572,0.000215387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009158864,0.00009312013,0.0005713157,0.00006881748,0.00001292697,0.000319978,0.0002198529,0.2449172,0.00004189441,0.02290058,0.0004935096,0.7303516],"study_design_scores_gemma":[0.0003734328,0.0001363262,0.0006506056,0.0004778367,0.000009980607,0.00003379237,4.820077e-8,0.9603997,0.001244177,0.03295932,0.002778249,0.0009365452],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0002380102,0.0002758295,0.9928635,0.0009769375,0.002413874,0.000405806,0.00004620048,0.0003916368,0.002388159],"genre_scores_gemma":[0.8294393,0.00003105654,0.1659279,0.00233354,0.001644025,0.00001990586,0.0002305602,0.00008618923,0.0002874946],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8292013,"threshold_uncertainty_score":0.9995055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01113498672531657,"score_gpt":0.2199453244864787,"score_spread":0.2088103377611621,"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."}}