{"id":"W4287854949","doi":"10.1109/mnet.002.2100312","title":"Autonomous Collaborative Authentication with Privacy Preservation in 6G: From Homogeneity to Heterogeneity","year":2022,"lang":"en","type":"article","venue":"IEEE Network","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"H2020 European Research Council; National Natural Science Foundation of China","keywords":"Computer science; Authentication (law); Computer security; Overhead (engineering); Information sharing; Computer network; World Wide Web","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":[0.0002666806,0.0001407619,0.0001776813,0.00008448481,0.0001440329,0.00003934161,0.0004767698,0.00004849109,0.00002409382],"category_scores_gemma":[0.00001213186,0.0001641377,0.00002162394,0.0009331885,0.00001959666,0.0001841584,0.0001510723,0.0002536451,0.000009298388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003403227,"about_ca_system_score_gemma":0.00004411858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001624751,"about_ca_topic_score_gemma":0.0008463587,"domain_scores_codex":[0.9988855,0.0001928833,0.000259856,0.0002233666,0.0002164388,0.0002220072],"domain_scores_gemma":[0.9990202,0.00009479382,0.00006106519,0.0007022807,0.00006227488,0.00005936073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00009175821,0.0001011091,0.01571324,0.0000111706,0.00005275296,0.000003762147,0.004285679,0.9657553,0.003847,0.0003383172,0.008264222,0.001535648],"study_design_scores_gemma":[0.001839866,0.0005870988,0.3881825,0.0001864268,0.00007374209,0.000007693736,0.0004691718,0.269908,0.0708983,0.009614431,0.2563558,0.001877015],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987278,0.0003005422,0.01009383,0.0002782566,0.0003387856,0.0006990044,0.00005878285,0.0005649861,0.000387741],"genre_scores_gemma":[0.9898276,0.00002620776,0.008870958,0.0001233228,0.0001868102,0.0008150323,0.00009810788,0.00003818121,0.00001379988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6958473,"threshold_uncertainty_score":0.6693341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0170007635704327,"score_gpt":0.2486533909055717,"score_spread":0.231652627335139,"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."}}