{"id":"W4401508844","doi":"10.1109/iccworkshops59551.2024.10615659","title":"ABConv: Attention Based Convolution for Automatic Modulation Recognition","year":2024,"lang":"en","type":"article","venue":"","topic":"Wireless Signal Modulation Classification","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Convolution (computer science); Modulation (music); Artificial intelligence; Speech recognition; Pattern recognition (psychology); Artificial neural network; Acoustics; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.0003965338,0.0001116479,0.00009115813,0.0002586929,0.0001115203,0.0003211781,0.0001703423,0.00008322117,0.00005793238],"category_scores_gemma":[0.00005982616,0.0001088266,0.00009373805,0.0004365317,0.00001815885,0.001226317,0.00001628499,0.00005499365,0.0002667488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001592695,"about_ca_system_score_gemma":0.00008133485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008442407,"about_ca_topic_score_gemma":0.000003822872,"domain_scores_codex":[0.9988293,0.00006109685,0.0003062432,0.0004097233,0.0002337476,0.0001599004],"domain_scores_gemma":[0.9991803,0.0002373962,0.00007484348,0.0002623185,0.0001975016,0.0000476803],"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":[0.000008148823,0.0000758466,0.0001512863,0.0003002745,0.00002681639,0.000001110545,0.00009778742,0.004190288,0.04938314,0.1944753,0.00194635,0.7493436],"study_design_scores_gemma":[0.0003146996,0.00004298447,0.01130854,0.00007627423,0.00001144039,0.000002352238,0.000005585026,0.9611189,0.002336452,0.02418755,0.0004528234,0.0001423969],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0235839,0.00002956312,0.9706706,0.002703168,0.000735549,0.000619259,0.000006256431,0.001224387,0.0004273626],"genre_scores_gemma":[0.8944138,0.000001084891,0.1047349,0.0001149038,0.00009798043,0.0002119013,0.0001731893,0.00001276221,0.0002395638],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9569286,"threshold_uncertainty_score":0.4437818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04943621689992916,"score_gpt":0.276818273024418,"score_spread":0.2273820561244889,"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."}}