{"id":"W4415124395","doi":"10.1109/icisc65841.2025.11187695","title":"A Data-Driven Approach to Radio Frequency Signal Level Forecasting Using Machine Learning Algorithms","year":2025,"lang":"en","type":"article","venue":"","topic":"Radio Wave Propagation Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Software-defined radio; Transmitter; Emulation; Spoofing attack; Artificial neural network; Software deployment; Autoencoder; Universal Software Radio Peripheral; Wireless network","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":[0.001756696,0.001236402,0.001508869,0.001148209,0.0003912462,0.001744758,0.002293956,0.001482509,0.002665101],"category_scores_gemma":[0.005382053,0.0008578819,0.001244359,0.001545666,0.0006927549,0.00148587,0.0008947248,0.002617766,0.0006766037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001436638,"about_ca_system_score_gemma":0.001258429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009537446,"about_ca_topic_score_gemma":0.007046209,"domain_scores_codex":[0.9992806,0.0002141179,0.00005070631,0.0002190775,0.0001642128,0.00007112561],"domain_scores_gemma":[0.9971132,0.002093563,0.000193612,0.0001479055,0.0003931297,0.00005852844],"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":[0.00002326118,0.00003554092,0.0005574784,0.00003469399,0.00004079227,0.00002581402,0.00001967104,0.9610009,0.0002610956,0.00712852,0.0007589138,0.03011332],"study_design_scores_gemma":[9.80941e-7,0.000003405486,0.00002258883,0.000002198479,0.000001697402,0.000001927154,0.00000148499,0.9976829,0.00006104141,0.002080912,0.0001390971,0.000001705518],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005538328,0.0003790111,0.9917175,0.0003799785,0.00005916238,0.00003961994,0.0001264541,0.0004090278,0.001350935],"genre_scores_gemma":[0.5948073,0.001250856,0.3942042,0.0003947555,0.0003830303,0.0004041503,0.0009226344,0.0001960457,0.007436969],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009537446,"threshold_uncertainty_score":0.01896387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1365270295065396,"score_gpt":0.2867827021854781,"score_spread":0.1502556726789385,"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."}}