{"id":"W7083178340","doi":"10.1109/ojcoms.2025.3613925","title":"Physical Layer Security in RIS-Assisted THz-Enabled LEO Satellite Communications","year":2025,"lang":"en","type":"article","venue":"IEEE Open Journal of the Communications Society","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; McMaster University","keywords":"Physical layer; Secrecy; Communications satellite; Key (lock); Satellite; Software deployment; Wireless; Constellation","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008364083,0.0005152089,0.0005078708,0.0003611902,0.0005010243,0.001233214,0.0004631677,0.0008109745,0.00120721],"category_scores_gemma":[0.002634612,0.000296535,0.0003099302,0.0003765235,0.001253324,0.001512534,0.001254228,0.0007465908,0.000354973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008571739,"about_ca_system_score_gemma":0.0005976121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009465998,"about_ca_topic_score_gemma":0.0009436952,"domain_scores_codex":[0.9993098,0.000223605,0.00002343331,0.00007786692,0.0002352109,0.0001301708],"domain_scores_gemma":[0.9984261,0.0009646563,0.00025774,0.0001395219,0.0001830937,0.00002907667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003199502,0.00007814645,0.007224908,0.000531333,0.000122866,0.001500194,0.0005724505,0.7211214,0.07221041,0.1541913,0.001781374,0.04034562],"study_design_scores_gemma":[0.000008090229,0.0001379894,0.0009925718,0.00005225709,0.00002594729,0.0004748477,0.0001798843,0.9727419,0.0118352,0.01186581,0.001651321,0.0000341286],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2982373,0.005913158,0.668331,0.001241344,0.0001771165,0.00007889746,0.0001934796,0.000423825,0.02540387],"genre_scores_gemma":[0.987399,0.00103961,0.01001926,0.00008114293,0.00002949874,0.00001855954,0.00002594224,0.0000108619,0.001376077],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001233214,"threshold_uncertainty_score":0.006219268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05034679357318548,"score_gpt":0.3839628582323165,"score_spread":0.333616064659131,"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."}}