{"id":"W2565469751","doi":"10.1016/j.phycom.2016.12.001","title":"Cognitive radio network with secrecy and interference constraints","year":2016,"lang":"en","type":"article","venue":"Physical Communication","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Computer science; Cognitive radio; Secrecy; Interference (communication); Co-channel interference; Computer network; Telecommunications; Computer security; Wireless; Channel (broadcasting)","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":[0.00009778828,0.0001134947,0.0001417129,0.00002445824,0.00007354352,0.00002774661,0.0003048816,0.00003601803,0.00001503391],"category_scores_gemma":[0.00002607371,0.00008236517,0.00001769755,0.0001076987,0.0003881798,0.0002144819,0.0001307516,0.000171666,0.00001661345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003263931,"about_ca_system_score_gemma":0.000008115919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005471676,"about_ca_topic_score_gemma":0.00001719652,"domain_scores_codex":[0.9994671,0.0001051381,0.0001140943,0.0001032954,0.00007558083,0.0001348427],"domain_scores_gemma":[0.9987457,0.0005347318,0.00003696287,0.0005575241,0.00007237091,0.00005265247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001024028,0.000202537,0.003763283,0.00007081779,0.0002029335,0.000001248226,0.004028138,0.00008816631,0.01584526,0.1857653,0.000821704,0.7891082],"study_design_scores_gemma":[0.01230959,0.00198506,0.1599773,0.01564854,0.0005654462,0.0002019351,0.003069,0.1502985,0.2033823,0.4318749,0.01403,0.006657464],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8284027,0.000798687,0.1493955,0.000787677,0.00001818331,0.0004020004,0.0000188586,0.00113125,0.0190452],"genre_scores_gemma":[0.9966162,0.0006984868,0.002517981,0.00002911159,0.00002505203,0.0000696986,0.00001289565,0.00002092452,0.000009583537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7824507,"threshold_uncertainty_score":0.3358754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01608335068174686,"score_gpt":0.2496199130095211,"score_spread":0.2335365623277742,"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."}}