{"id":"W4312883044","doi":"10.1109/mbits.2022.3212978","title":"Role of Deep Learning in Wireless Communications","year":2022,"lang":"en","type":"article","venue":"IEEE BITS the Information Theory Magazine","topic":"Wireless Signal Modulation Classification","field":"Computer Science","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Computer science; Wireless; Telecommunications; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001603866,0.00008921978,0.0001155854,0.0002758034,0.0003504796,0.0000587056,0.001679554,0.00002695442,0.00004982279],"category_scores_gemma":[0.00007319837,0.00007841428,0.00004110231,0.0009353536,0.00008820066,0.001236149,0.000416231,0.0003223179,0.00009527626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009444472,"about_ca_system_score_gemma":0.00005724264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009613662,"about_ca_topic_score_gemma":0.00001066713,"domain_scores_codex":[0.998287,0.0005999189,0.0005148426,0.00009393291,0.0003621901,0.0001421777],"domain_scores_gemma":[0.9981325,0.0004258852,0.0004218928,0.0008626267,0.000130856,0.00002622024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002139678,0.00005500798,0.0003934195,0.000009407185,0.000008262169,1.146523e-7,0.005871688,0.0614521,0.007769558,0.7650871,0.00005535327,0.1592766],"study_design_scores_gemma":[0.0003461047,0.00005062129,0.01178885,0.000008596021,0.000004096939,0.00001055413,0.00113338,0.9462655,0.002299705,0.02723443,0.01072234,0.0001358787],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1618632,0.0002373595,0.797479,0.003943099,0.0003515436,0.0008775023,0.0000149662,0.0003601003,0.03487315],"genre_scores_gemma":[0.9985056,0.00001396607,0.0009715233,0.0002198367,0.00001031799,0.0001156415,0.00002869597,0.000005444953,0.000128992],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8848134,"threshold_uncertainty_score":0.3197641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01268347238545453,"score_gpt":0.2303713002553514,"score_spread":0.2176878278698968,"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."}}