{"id":"W4413838530","doi":"10.24908/iqurcp19897","title":"Artificial Intelligence for Robust and Scalable Wireless Communication","year":2025,"lang":"en","type":"article","venue":"Inquiry Queen s Undergraduate Research Conference Proceedings","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Wireless; Computer science; Scalability; Artificial intelligence; Computer network; Telecommunications; Database","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001323519,0.0002225724,0.0002830193,0.0005172165,0.0004899311,0.000401645,0.0009026892,0.000180778,0.000005678866],"category_scores_gemma":[0.0003299638,0.0002449398,0.00004125644,0.0008937785,0.0008287167,0.0006200907,0.0004197161,0.0007070992,0.000008869164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002255176,"about_ca_system_score_gemma":0.0001166786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000532842,"about_ca_topic_score_gemma":0.00002549642,"domain_scores_codex":[0.9981943,0.00005594611,0.0004833133,0.0003744808,0.0003290049,0.000562918],"domain_scores_gemma":[0.9974994,0.0005691422,0.00005845011,0.0004563985,0.001299641,0.0001169426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004267624,0.00004622541,0.0001601858,0.0004445449,0.00003900665,2.476643e-7,0.000804084,0.0002865974,0.006319167,0.8231316,0.003088401,0.1656373],"study_design_scores_gemma":[0.00008638524,0.0000669231,0.00005316077,0.0005137099,0.00001003063,0.000001710383,0.00209134,0.2594784,0.07129527,0.6630521,0.0030665,0.0002844393],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01869787,0.0006294064,0.9577392,0.0136371,0.00008701748,0.001464062,0.000008874172,0.001056499,0.006680019],"genre_scores_gemma":[0.9537517,0.006179641,0.03885848,0.00003383682,0.00003232052,0.0008062974,0.00001680485,0.00004130385,0.0002795452],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9350539,"threshold_uncertainty_score":0.9988356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.121309370123908,"score_gpt":0.3811183979698849,"score_spread":0.2598090278459769,"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."}}