{"id":"W1925165765","doi":"10.1002/sec.375","title":"Energy efficiency of encryption schemes applied to wireless sensor networks","year":2011,"lang":"en","type":"article","venue":"Security and Communication Networks","topic":"Security in Wireless Sensor Networks","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Block cipher mode of operation; Stream cipher; Cipher; Block cipher; Cryptography; Encryption; Efficient energy use; CBC-MAC; Triple DES; Computer network; Computer engineering; Distributed computing; Algorithm; Computer security; Engineering","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":[0.0005886205,0.0002922706,0.0004103237,0.0001649571,0.0003251622,0.0000968743,0.001809596,0.0003171219,0.00002078176],"category_scores_gemma":[0.00001502908,0.0003138992,0.00008876898,0.0009347603,0.0002565559,0.0002965557,0.0009952745,0.0004624735,0.000004912367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003554268,"about_ca_system_score_gemma":0.00002818137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001730458,"about_ca_topic_score_gemma":0.00009386395,"domain_scores_codex":[0.9977926,0.000293759,0.0005978614,0.0005278023,0.0002957856,0.0004921844],"domain_scores_gemma":[0.997038,0.0002932374,0.0003244549,0.001905559,0.0002085391,0.0002302108],"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":[0.0001047897,0.0004380599,0.0004907718,0.00002982444,0.00006814799,0.000003013541,0.01016669,0.01061701,0.0001675516,0.8901314,0.0004733801,0.08730932],"study_design_scores_gemma":[0.0004689303,0.0001262746,0.000668122,0.0001184721,0.00002327707,0.00001486304,0.0003885678,0.9861159,0.001239174,0.008769566,0.001554291,0.000512588],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08723544,0.002685495,0.9028141,0.0002189864,0.000245039,0.0003277899,0.000001805103,0.0002773886,0.006193894],"genre_scores_gemma":[0.9833381,0.002295788,0.01360749,0.0005609492,0.00009002762,0.0000539448,0.0000190207,0.00002231495,0.000012362],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9754989,"threshold_uncertainty_score":0.9999313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01469796472156287,"score_gpt":0.2135644538569846,"score_spread":0.1988664891354217,"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."}}