{"id":"W4417212574","doi":"10.1080/00051144.2025.2598174","title":"An Hybrid device authentication algorithm for edge-based IoT networks","year":2025,"lang":"en","type":"article","venue":"Automatika","topic":"Advanced Authentication Protocols Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Internet of Things; Authentication (law); Algorithm design; Identification (biology); Field (mathematics)","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":[],"consensus_categories":[],"category_scores_codex":[0.0004022299,0.0001715808,0.000178241,0.0001402984,0.0002478308,0.0001956273,0.001112074,0.00006477026,0.00001289941],"category_scores_gemma":[0.00007026052,0.0001786588,0.00007629478,0.000496381,0.00005377061,0.0003017217,0.00008551843,0.0001054014,0.00002876703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008695872,"about_ca_system_score_gemma":0.0001658615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004177463,"about_ca_topic_score_gemma":0.000002244656,"domain_scores_codex":[0.9985112,0.00009527982,0.0003632231,0.0005209213,0.0001862234,0.0003231801],"domain_scores_gemma":[0.9981557,0.0002458137,0.0001743832,0.001091003,0.0002402468,0.00009291399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004854287,0.0003134747,0.00006422848,0.00006757084,0.00002285358,0.000001303517,0.0002218578,0.003430297,0.0003215387,0.217987,0.0005158084,0.7770492],"study_design_scores_gemma":[0.0005093314,0.00005357897,0.0009759001,0.00004649054,0.00001265515,0.000001133697,0.000007353119,0.9251591,0.00631213,0.06364059,0.003113966,0.0001677703],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0009563413,0.0000491889,0.992757,0.00102691,0.0003000704,0.003972636,0.000006596199,0.0008007221,0.0001304942],"genre_scores_gemma":[0.4094284,4.494771e-7,0.5851371,0.001416673,0.00005349535,0.003782505,0.00002965389,0.00001382308,0.0001379854],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9217288,"threshold_uncertainty_score":0.7285493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01162361669742253,"score_gpt":0.3128621878199207,"score_spread":0.3012385711224982,"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."}}