{"id":"W4397019942","doi":"10.36227/techrxiv.171591520.09330388/v1","title":"Cross-Layer Management Framework for Enhancing XR-Based System Security in Zero-Trust Wireless Communications","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Telecommunications and Broadcasting Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Zero (linguistics); Wireless; Layer (electronics); Computer science; Computer security; Computer network; Business; Telecommunications; Nanotechnology; Materials science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004792452,0.0003783517,0.0004410048,0.0004492895,0.0001604592,0.0003303957,0.002213146,0.0006725956,0.00001316254],"category_scores_gemma":[0.00004665302,0.0003952334,0.0001803823,0.0004127509,0.0001092478,0.00003911911,0.00289508,0.001776395,0.00003788185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005897089,"about_ca_system_score_gemma":0.00004224335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001120176,"about_ca_topic_score_gemma":0.000440102,"domain_scores_codex":[0.9982998,0.00003940637,0.0007025911,0.000420979,0.0001428689,0.0003943636],"domain_scores_gemma":[0.995685,0.0003840913,0.00009318863,0.003718046,0.00007923393,0.00004043152],"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":[0.00001876012,0.0002691709,0.001091967,0.02882743,0.0005786903,0.00001647046,0.0008618121,0.1907871,0.0002444743,0.7425019,0.002266364,0.0325358],"study_design_scores_gemma":[0.0002652185,0.00001519693,0.0002373571,0.005499131,0.0000957731,0.00000230282,0.001023388,0.923438,0.002822053,0.06170258,0.00416878,0.0007302336],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1883003,0.007207493,0.7649917,0.001109339,0.001600424,0.003293201,0.0003271346,0.01256072,0.02060963],"genre_scores_gemma":[0.7717918,0.0002571381,0.226115,0.00001519812,0.00002477492,0.001527558,0.0000993133,0.00008013462,0.00008906865],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7326509,"threshold_uncertainty_score":0.99985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03155460250281229,"score_gpt":0.3093496988586383,"score_spread":0.277795096355826,"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."}}