{"id":"W7098153354","doi":"","title":"Author manuscript, published in &amp;quot;IFIP WSAN 2008, Canada (2008)&amp;quot; HERO: Hierarchical kEy management pRotocol for heterOgeneous wireless sensor networks","year":2009,"lang":"en","type":"article","venue":"","topic":"Security in Wireless Sensor Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wireless sensor network; Key management; Key (lock); Scheme (mathematics); Node (physics); Protocol (science); Construct (python library); Tree (set theory)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001461233,0.000907241,0.001587045,0.001182627,0.001445745,0.0044921,0.001303033,0.001187405,0.3194929],"category_scores_gemma":[0.005321611,0.000555356,0.0005701502,0.002426531,0.0008967108,0.002453827,0.001179496,0.001056931,0.1196075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001773094,"about_ca_system_score_gemma":0.002418851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01129831,"about_ca_topic_score_gemma":0.01904763,"domain_scores_codex":[0.9992648,0.00009979865,0.00005347,0.0001973397,0.0002748438,0.0001097722],"domain_scores_gemma":[0.9968278,0.0004807796,0.00009190495,0.0003737834,0.001902853,0.0003228976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003343622,0.00008739627,0.0007271665,0.0005362948,0.00008192397,0.0002902618,0.0001151083,0.002291838,0.003259147,0.01130459,0.7802628,0.200709],"study_design_scores_gemma":[0.00004984185,0.00008761126,0.0006933567,0.0001572874,0.00002926974,0.0002625198,0.00008671939,0.005815104,0.00276582,0.00374396,0.9862733,0.00003511076],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.01407768,0.02294452,0.1543788,0.03418155,0.1908536,0.001376128,0.01830328,0.007124886,0.5567595],"genre_scores_gemma":[0.02610817,0.009528548,0.02970361,0.001516598,0.004566292,0.0001293561,0.007898679,0.00161986,0.9189289],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.3194929,"threshold_uncertainty_score":0.9706608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02907554011369027,"score_gpt":0.2790805973064135,"score_spread":0.2500050571927232,"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."}}