{"id":"W4409333642","doi":"10.23977/acss.2025.090120","title":"Classification of RF Signals Based on Image and Sequence Inputs","year":2025,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"Advanced Algorithms and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sequence (biology); Artificial intelligence; Computer science; Image (mathematics); Computer vision; Pattern recognition (psychology); Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003418416,0.001353245,0.0004404106,0.00136533,0.0001870934,0.0004925622,0.0005191792,0.0007288373,0.002094131],"category_scores_gemma":[0.001238302,0.0001040011,0.0005615778,0.0007508597,0.0002807206,0.0005932486,0.0004551035,0.0005031332,0.001319111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004060643,"about_ca_system_score_gemma":0.0003288911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003137567,"about_ca_topic_score_gemma":0.004251425,"domain_scores_codex":[0.9996214,0.00004609864,0.00002540933,0.00009765497,0.0001381653,0.00007135051],"domain_scores_gemma":[0.9995661,0.0001112028,0.00005456607,0.00007932262,0.0001606843,0.00002796744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001927801,0.0009339753,0.0371378,0.000753534,0.0002283063,0.0009618977,0.0000930899,0.0835005,0.09828871,0.002220889,0.03198966,0.7419638],"study_design_scores_gemma":[0.000107817,0.00101651,0.07462889,0.0001143086,0.0001573086,0.0007878699,0.0003358478,0.7715201,0.1265277,0.00242765,0.0222857,0.00009023966],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8634045,0.001497578,0.09562626,0.0007054441,0.0007795523,0.0003057537,0.01871705,0.004462598,0.01450128],"genre_scores_gemma":[0.9009976,0.0007109351,0.04842959,0.0002573586,0.0001670037,0.0002059469,0.04176904,0.00009254196,0.007369931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003137567,"threshold_uncertainty_score":0.007005513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01657810438912924,"score_gpt":0.2800474510280229,"score_spread":0.2634693466388937,"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."}}