{"id":"W4234765111","doi":"10.32920/ryerson.14645529.v1","title":"Enhancing broadcast authentication in sensor networks","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Security in Wireless Sensor Networks","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Authentication (law); Denial-of-service attack; Computer network; Computer security; Authentication protocol; Reliability (semiconductor); Wireless sensor network; Challenge-Handshake Authentication Protocol; Protocol (science)","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":[0.0005006728,0.0003646043,0.000487068,0.0002324206,0.00006440986,0.0007797173,0.001496954,0.000613272,0.0000749593],"category_scores_gemma":[0.00007763314,0.0004061594,0.0001681834,0.0005792427,0.00004256958,0.0002515338,0.002574059,0.001365465,0.00003587527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002099875,"about_ca_system_score_gemma":0.0001626489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003019704,"about_ca_topic_score_gemma":0.0004819399,"domain_scores_codex":[0.9968908,0.0002660061,0.0006729721,0.001179285,0.0004061383,0.0005848263],"domain_scores_gemma":[0.9973262,0.0002594168,0.0002417607,0.001875796,0.0001721925,0.0001246384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000100567,0.0004481166,0.001618029,0.0003074163,0.0001274317,0.0005196144,0.01220181,0.896437,0.001392865,0.02059665,0.0008103005,0.06553064],"study_design_scores_gemma":[0.0001589017,0.000008425742,0.0019686,0.0004189317,0.000009141701,0.00002577053,0.0001929833,0.9946363,0.001407893,0.0005545049,0.000133528,0.0004850169],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0868784,0.001041398,0.9065418,0.0007265934,0.00266601,0.0003657092,7.785686e-7,0.0003903795,0.00138898],"genre_scores_gemma":[0.876781,0.0002996682,0.121706,0.0004108019,0.000384814,0.00004375288,0.00004492591,0.0000294795,0.0002995624],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7899026,"threshold_uncertainty_score":0.999839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01508970180299677,"score_gpt":0.2499499589168758,"score_spread":0.234860257113879,"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."}}