{"id":"W4409044623","doi":"10.36227/techrxiv.174352092.24540267/v1","title":"Maximizing URLLC Reliability Through JPSA for URLLC Services in IRS-Aided Terahertz Networks","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Reliability (semiconductor); Terahertz radiation; Reliability engineering; Computer science; Engineering; Materials science; Physics; Optoelectronics","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":[0.001245285,0.0009341015,0.001233033,0.0002966498,0.0002541604,0.00075643,0.004692319,0.001210863,0.00002472845],"category_scores_gemma":[0.00009117053,0.0009042389,0.0005237628,0.001044963,0.0001093619,0.0005825594,0.005422683,0.001536031,0.000008776732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004987019,"about_ca_system_score_gemma":0.0003030547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001653261,"about_ca_topic_score_gemma":0.001447187,"domain_scores_codex":[0.9934217,0.0003660647,0.001452548,0.002792417,0.0005810392,0.00138628],"domain_scores_gemma":[0.9940352,0.00130812,0.0005433434,0.003564361,0.000385732,0.0001632477],"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":[0.00004103338,0.0002012913,0.001124459,0.0005429631,0.0000523197,0.00001309934,0.0006876211,0.9627553,0.000005796466,0.02071473,0.001185258,0.01267617],"study_design_scores_gemma":[0.0007478659,0.00004367675,0.0006338281,0.00105168,0.00003001893,0.000003058033,0.00006363039,0.9726026,0.0001917952,0.01107392,0.01268301,0.0008748995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01031158,0.001142974,0.9646422,0.002226884,0.004765568,0.001793538,0.00001817534,0.001039916,0.01405912],"genre_scores_gemma":[0.3872711,0.0005233537,0.6025787,0.004031525,0.0007273611,0.0008241886,0.0001915772,0.00009255289,0.003759655],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3769595,"threshold_uncertainty_score":0.9993408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01634952644589567,"score_gpt":0.2670728535356288,"score_spread":0.2507233270897332,"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."}}