{"id":"W4226476448","doi":"10.1109/tvt.2022.3158892","title":"On the Security of Full-Duplex Relay-Assisted Underwater Acoustic Network With NOMA","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Eavesdropping; Relay; Computer network; Underwater acoustic communication; Computer science; Efficient energy use; Linear network coding; Wireless; Wireless network; Transmitter power output; Secrecy; Telecommunications; Electronic engineering; Underwater; Engineering; Power (physics); Channel (broadcasting); Transmitter; Electrical engineering; Computer security","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":[0.001082259,0.0008226741,0.0005977084,0.0006224862,0.0008262427,0.001252844,0.0006137845,0.0007276096,0.001134292],"category_scores_gemma":[0.003386803,0.0003081885,0.0004200487,0.0005629741,0.001422742,0.001671497,0.001192963,0.0007387921,0.0002548842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001066263,"about_ca_system_score_gemma":0.001095397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002247279,"about_ca_topic_score_gemma":0.002067956,"domain_scores_codex":[0.9988728,0.000459498,0.00003902178,0.0001701958,0.00026043,0.0001980367],"domain_scores_gemma":[0.9979342,0.001314045,0.0002468665,0.0001486956,0.000291207,0.00006499895],"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":[0.0007003592,0.00009701595,0.00288576,0.00049023,0.0001834133,0.000863725,0.0004647965,0.7455837,0.03704078,0.1686926,0.003019138,0.03997839],"study_design_scores_gemma":[0.00001600282,0.0002493026,0.0006907072,0.00005985316,0.00003838515,0.0003096676,0.0001677597,0.9733083,0.005034823,0.01871429,0.001369455,0.00004146999],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3233662,0.009778916,0.6283265,0.002240079,0.0003840331,0.000122554,0.0002135928,0.000161017,0.03540702],"genre_scores_gemma":[0.9871368,0.002309902,0.008646292,0.00008690076,0.00008147238,0.00003629291,0.00003533715,0.000010913,0.001656038],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002247279,"threshold_uncertainty_score":0.007736325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009786119501055863,"score_gpt":0.188878137002462,"score_spread":0.1790920175014062,"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."}}