{"id":"W2070207987","doi":"10.1109/vtcfall.2014.6966172","title":"Secret Key Generation Using Physical Channels with Imperfect CSI","year":2014,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Key generation; Computer science; Secrecy; Randomness; Key (lock); Imperfect; Quantization (signal processing); Channel (broadcasting); Wireless; Computer network; Information-theoretic security; Computer security; Reliability (semiconductor); Cryptography; Telecommunications; Algorithm; Mathematics","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":[0.003151082,0.0006625689,0.0008825412,0.0005133641,0.0004893519,0.001198777,0.0008336337,0.001007762,0.001001705],"category_scores_gemma":[0.01271224,0.0004550289,0.0004124079,0.000722585,0.002717661,0.004256424,0.001965781,0.001007476,0.0002763636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007813397,"about_ca_system_score_gemma":0.0006288227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002483511,"about_ca_topic_score_gemma":0.0002871077,"domain_scores_codex":[0.9979606,0.000900234,0.00009718406,0.0002144395,0.0005901206,0.000237484],"domain_scores_gemma":[0.9915003,0.006284431,0.0009064423,0.0009959243,0.0002292512,0.00008364418],"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":[0.0009840389,0.00009904426,0.002511419,0.0005059185,0.0001354602,0.0006953929,0.0005159766,0.5924902,0.05875478,0.2840792,0.0007448353,0.0584838],"study_design_scores_gemma":[0.00006903218,0.0002095792,0.0005110492,0.00006035472,0.00005070511,0.0006308996,0.0001373443,0.8536623,0.03964817,0.1036602,0.001274115,0.00008615381],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09046818,0.0005873379,0.9053884,0.000724909,0.00004386396,0.00003728029,0.00005605847,0.0001722775,0.002521724],"genre_scores_gemma":[0.9469721,0.0004250296,0.05152617,0.00008328141,0.00004164513,0.00002572761,0.00004127021,0.00002671908,0.0008580333],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003151082,"threshold_uncertainty_score":0.01666474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01996457194525098,"score_gpt":0.2420222333344565,"score_spread":0.2220576613892055,"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."}}