{"id":"W4389692244","doi":"10.1109/tcomm.2023.3342237","title":"Media-Based Modulation for Next-Generation Wireless: Latest Progress and New Applications","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Transmitter; MIMO; Bit error rate; Channel state information; Electronic engineering; Channel (broadcasting); Telecommunications; Wireless; Computer engineering; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009883539,0.0005311245,0.0003782329,0.0008797777,0.0003911028,0.001337967,0.0006393014,0.001083087,0.00538071],"category_scores_gemma":[0.00149251,0.000229663,0.0002277237,0.001311394,0.0007039644,0.003122122,0.0008869894,0.001484025,0.00184731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006102936,"about_ca_system_score_gemma":0.0005380448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005140408,"about_ca_topic_score_gemma":0.0006877774,"domain_scores_codex":[0.9997433,0.00005595522,0.00001896476,0.00002774244,0.000123948,0.00003009334],"domain_scores_gemma":[0.9993731,0.0002663897,0.00005883847,0.00005950729,0.0001979529,0.0000441208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001293715,0.00005816219,0.0006709899,0.001356916,0.00002265479,0.0002013384,0.0002616628,0.003419973,0.02121477,0.1145762,0.02606524,0.8320227],"study_design_scores_gemma":[0.00002632131,0.0002325049,0.0008221545,0.001104858,0.00004816202,0.001006655,0.0003014782,0.02749396,0.01376787,0.07014124,0.8849782,0.00007655473],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01435453,0.6977381,0.1759618,0.01920343,0.005039229,0.0001067684,0.000165838,0.0008766644,0.08655371],"genre_scores_gemma":[0.169712,0.6605601,0.1233785,0.003695193,0.008545177,0.0001490339,0.0004114598,0.0002745371,0.03327385],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00538071,"threshold_uncertainty_score":0.0180003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1116932107853108,"score_gpt":0.2986893304241858,"score_spread":0.186996119638875,"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."}}