{"id":"W2793222875","doi":"10.1049/iet-com.2017.0719","title":"Maximising the degrees of freedom of the physical‐layer secured relay networks with artificial jamming","year":2018,"lang":"en","type":"article","venue":"IET Communications","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"National Natural Science Foundation of China","keywords":"Jamming; Physical layer; Degrees of freedom (physics and chemistry); Relay; Computer science; Layer (electronics); Telecommunications; Computer network; Physics; Nanotechnology; Materials science; Quantum mechanics; Wireless","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":[0.0002685761,0.0001267938,0.0001865863,0.00004442165,0.0003362542,0.00002549621,0.00228253,0.00006976467,0.000007677648],"category_scores_gemma":[0.00005002577,0.00008216673,0.00008533229,0.0005259973,0.001019578,0.00009909004,0.0004825273,0.0004252498,0.00000277652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002975799,"about_ca_system_score_gemma":0.00002584866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001117379,"about_ca_topic_score_gemma":0.001127072,"domain_scores_codex":[0.999061,0.0001925263,0.0003288924,0.00008601701,0.0001816737,0.0001498432],"domain_scores_gemma":[0.995279,0.0004396897,0.0001761742,0.003842222,0.0002392899,0.00002360817],"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":[0.0001128128,0.001250141,0.005821159,0.0001792938,0.001014006,4.775857e-7,0.08358985,0.5087211,0.07864983,0.2714195,0.009279015,0.03996291],"study_design_scores_gemma":[0.000194396,0.00009005282,0.005369805,0.0003467467,0.0001124355,0.000005733203,0.001661944,0.9594029,0.02405523,0.001037568,0.007444976,0.000278231],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.890143,0.002347119,0.07807525,0.005053815,0.000260062,0.001345085,0.00005160929,0.0008974904,0.02182655],"genre_scores_gemma":[0.9841434,0.0001333141,0.0155475,0.00001912344,0.00006050607,0.00004592371,0.000006688777,0.00003301179,0.00001057084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4506819,"threshold_uncertainty_score":0.4241547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02982862190641222,"score_gpt":0.262049119937574,"score_spread":0.2322204980311617,"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."}}