{"id":"W2408559501","doi":"10.1515/jmc-2015-0042","title":"Linear approaches to resilient aggregation in sensor networks","year":2015,"lang":"en","type":"article","venue":"Journal of Mathematical Cryptology","topic":"Security in Wireless Sensor Networks","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wireless sensor network; Computer science; Computer network; Network topology; Base station; Aggregate (composite); Protocol (science); Node (physics); Key distribution in wireless sensor networks; Distributed computing; Topology (electrical circuits); Wireless network; Wireless; Telecommunications; Mathematics; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.001350991,0.0001413664,0.0004662578,0.0002611778,0.00002281476,0.00004773293,0.0007089064,0.0001794636,0.000004803609],"category_scores_gemma":[0.0008375871,0.0001143181,0.00008476316,0.0004590256,0.0000373418,0.000209454,0.0001735001,0.0004525803,0.00006121861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001067307,"about_ca_system_score_gemma":0.00007361963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000128394,"about_ca_topic_score_gemma":0.000004113659,"domain_scores_codex":[0.9979757,0.0002805445,0.0007940444,0.0001953009,0.0004087099,0.000345696],"domain_scores_gemma":[0.9985148,0.0003459379,0.0003039602,0.0003484104,0.0001690311,0.0003178802],"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":[0.0002570217,0.0009237685,0.001215757,0.00006874857,0.00006637244,0.0007441301,0.00775073,0.3709718,0.00004409146,0.591774,0.008010593,0.0181729],"study_design_scores_gemma":[0.00105247,0.0005882783,0.0003758908,0.0001725104,0.00001441368,0.001520714,0.0006641596,0.8748811,0.0002803291,0.1195528,0.0006539592,0.0002433898],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1374112,0.0001851458,0.8536766,0.007569248,0.0004612819,0.000147402,1.3661e-7,0.00002464798,0.0005243215],"genre_scores_gemma":[0.6004654,0.000007755537,0.3988969,0.0003125027,0.0002927157,0.000003392119,2.238988e-7,0.000009809284,0.0000113403],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5039092,"threshold_uncertainty_score":0.4661757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1205386107623073,"score_gpt":0.2851397040136409,"score_spread":0.1646010932513336,"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."}}