{"id":"W7139088121","doi":"10.1109/globecom59602.2025.11432209","title":"A Dual-Layer Trust Model based on Digital Twins for Underwater Acoustic Sensor Networks","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"National Natural Science Foundation of China","keywords":"Cloud computing; Resilience (materials science); Weighting; Reinforcement learning; Software deployment; Scheme (mathematics); Wireless sensor network; Benchmark (surveying)","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":[0.001051714,0.0005809396,0.000675331,0.0004784368,0.00068222,0.00129967,0.001589713,0.0008011051,0.001554698],"category_scores_gemma":[0.003997355,0.0003173541,0.0006123588,0.0004326229,0.00110845,0.003124895,0.001555403,0.001129027,0.0002688679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001329495,"about_ca_system_score_gemma":0.001278982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008450025,"about_ca_topic_score_gemma":0.008693105,"domain_scores_codex":[0.999164,0.000199215,0.00008206193,0.0002172579,0.0002103476,0.0001271547],"domain_scores_gemma":[0.9988048,0.000364643,0.0001975641,0.0001286086,0.0003913433,0.0001129892],"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":[0.0002397624,0.00004503001,0.002039448,0.0000841923,0.00005938725,0.0003451074,0.0002431281,0.8961918,0.004183101,0.06008638,0.001142633,0.03534004],"study_design_scores_gemma":[0.000005134764,0.00003059951,0.00009115216,0.000003519999,0.00001186838,0.00003346885,0.00001358311,0.9930615,0.0004456649,0.005928664,0.0003674415,0.000007367355],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03823858,0.0002006662,0.9581099,0.0003185738,0.00007409547,0.00005382751,0.00006083312,0.0001857918,0.002757619],"genre_scores_gemma":[0.9573348,0.000181928,0.03984707,0.00005935265,0.00002799671,0.00006233904,0.00005830955,0.00001811386,0.002410197],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008450025,"threshold_uncertainty_score":0.01680171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01298405971356485,"score_gpt":0.2328577692905955,"score_spread":0.2198737095770306,"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."}}