{"id":"W1995397007","doi":"10.1145/1330332.1330333","title":"On the Construction of Practical Key Predistribution Schemes for Distributed Sensor Networks Using Combinatorial Designs","year":2008,"lang":"en","type":"article","venue":"ACM Transactions on Information and System Security","topic":"Security in Wireless Sensor Networks","field":"Computer Science","cited_by":203,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Key (lock); Set (abstract data type); Computer science; Combinatorial design; Transversal (combinatorics); Class (philosophy); Quadratic equation; Wireless sensor network; Field (mathematics); Ring (chemistry); Theoretical computer science; Mathematics; Discrete mathematics; Computer network; Pure 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002728583,0.0006619548,0.0005182094,0.0008215424,0.0005514793,0.001370762,0.000780286,0.0007854323,0.002256549],"category_scores_gemma":[0.006588558,0.0005055587,0.00067254,0.0008975271,0.001931186,0.002479822,0.001362227,0.001163475,0.0004339096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009651952,"about_ca_system_score_gemma":0.0006438111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000161442,"about_ca_topic_score_gemma":0.0002004585,"domain_scores_codex":[0.9979765,0.001091628,0.0001119181,0.0002150563,0.0004595702,0.0001453737],"domain_scores_gemma":[0.995262,0.003141313,0.0004476821,0.0007406975,0.0003195903,0.0000886282],"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":[0.0001509547,0.00008318228,0.000568186,0.0003405624,0.00005517343,0.0001198469,0.0001698949,0.2302611,0.01572109,0.6818951,0.0008753209,0.06975964],"study_design_scores_gemma":[0.00007268182,0.0005171364,0.0002759495,0.00009693881,0.00004346711,0.0003253725,0.00009051145,0.6773923,0.01509178,0.2968512,0.009178385,0.00006434924],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03279827,0.0005086791,0.9592837,0.0002313242,0.00004399499,0.0001210575,0.00003703895,0.0001151175,0.006860812],"genre_scores_gemma":[0.5480566,0.001266254,0.4471417,0.0001846402,0.0001021628,0.0003436465,0.00009269828,0.00005427444,0.002757995],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002728583,"threshold_uncertainty_score":0.01443028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0352407569787436,"score_gpt":0.258810254101161,"score_spread":0.2235694971224174,"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."}}