{"id":"W4220957570","doi":"10.1049/cje.2021.00.090","title":"Joint Spectrum Sensing and Spectrum Access for Defending Massive SSDF Attacks: A Novel Defense Framework","year":2022,"lang":"en","type":"article","venue":"Chinese Journal of Electronics","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Cognitive radio; Computer science; Spectrum (functional analysis); Node (physics); Joint (building); Cascading Style Sheets; Transmission (telecommunications); Computer network; Computer security; Telecommunications; Wireless; Engineering; World Wide Web; Physics","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":[0.001118829,0.0003668598,0.0006613557,0.0004638464,0.000851382,0.0005539952,0.0007120011,0.00008026254,0.00001369968],"category_scores_gemma":[0.0002828364,0.000315741,0.0003619197,0.001017021,0.00005851735,0.0006524381,0.0006090653,0.001340371,5.608644e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005843739,"about_ca_system_score_gemma":0.0004111958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000817392,"about_ca_topic_score_gemma":0.00004818999,"domain_scores_codex":[0.997264,0.0001266144,0.0007008881,0.0004704891,0.0005468016,0.0008912358],"domain_scores_gemma":[0.9977378,0.0006978422,0.0008328828,0.0003572521,0.0001508863,0.0002233948],"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":[0.003311895,0.002193836,0.009835821,0.0005139881,0.004105443,0.003807548,0.01649609,0.2102198,0.04438466,0.515368,0.006478899,0.1832841],"study_design_scores_gemma":[0.002681528,0.002019069,0.002064864,0.0002186236,0.0001567442,0.009774538,0.0002155747,0.6160645,0.002550568,0.3593369,0.003973264,0.0009437641],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2533665,0.003278667,0.7377287,0.004383228,0.0008597528,0.0002368586,0.000006013751,0.00003982365,0.0001004983],"genre_scores_gemma":[0.9758785,0.0003537012,0.02221838,0.0006009344,0.0008727438,0.000002606811,0.000001796296,0.00004809179,0.00002319015],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7225121,"threshold_uncertainty_score":0.9999295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02152920617830345,"score_gpt":0.2799417308265835,"score_spread":0.25841252464828,"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."}}