{"id":"W2961674272","doi":"10.1109/icc.2019.8761588","title":"Towards a Win-Win Spectrum Sharing Channel: A Secrecy Perspective","year":2019,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Secrecy; Computer science; Eavesdropping; Computer network; Throughput; Transmission (telecommunications); Channel (broadcasting); Forward secrecy; Computer security; Wireless; Telecommunications; Public-key cryptography; Encryption","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003544836,0.001264842,0.001258029,0.001148354,0.002111592,0.004908621,0.001364166,0.002224774,0.004168207],"category_scores_gemma":[0.005357357,0.0007759081,0.0006469585,0.001117933,0.004333656,0.006256568,0.005347264,0.003079445,0.0008383723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001480037,"about_ca_system_score_gemma":0.002414575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008238048,"about_ca_topic_score_gemma":0.0007747658,"domain_scores_codex":[0.9966065,0.001427711,0.00009950753,0.0003337708,0.0008819095,0.0006506031],"domain_scores_gemma":[0.9960774,0.00210119,0.000512491,0.0005273491,0.0005083674,0.0002732216],"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":[0.0002153671,0.00007834411,0.0005290566,0.0001797455,0.00004776691,0.0003379855,0.0003704742,0.09964694,0.006735758,0.8738202,0.00174517,0.01629314],"study_design_scores_gemma":[0.00005500791,0.0002271931,0.0002313549,0.00009938215,0.00004214796,0.0005536414,0.0004622283,0.5046925,0.006527983,0.4771035,0.009924203,0.00008079835],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02484218,0.0007468996,0.953824,0.002192788,0.0001343615,0.0001003961,0.00008251918,0.00009831652,0.01797863],"genre_scores_gemma":[0.9084591,0.001453554,0.08414108,0.0003556874,0.0002504427,0.0002015954,0.00004371076,0.00004639618,0.00504839],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004908621,"threshold_uncertainty_score":0.01874709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01188669685178134,"score_gpt":0.2449848045465106,"score_spread":0.2330981076947293,"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."}}