{"id":"W4312766166","doi":"10.1109/comst.2022.3223224","title":"Semantic Communications for Future Internet: Fundamentals, Applications, and Challenges","year":2022,"lang":"en","type":"article","venue":"IEEE Communications Surveys & Tutorials","topic":"Wireless Signal Modulation Classification","field":"Computer Science","cited_by":552,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Jilin Scientific and Technological Development Program; Natural Science Foundation of Sichuan Province; China Scholarship Council; National Research Foundation Singapore; National Natural Science Foundation of China; DSO National Laboratories - Singapore; Singapore University of Technology and Design","keywords":"Computer science; The Internet; Architecture; Paradigm shift; Dimension (graph theory); Meaning (existential); Data science; Telecommunications; World Wide Web","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":[0.003385146,0.0009213893,0.0007248289,0.003161332,0.001978124,0.007680249,0.001678496,0.003539404,0.004840634],"category_scores_gemma":[0.00475571,0.0005050665,0.0006559078,0.004362175,0.004661311,0.01950173,0.003242468,0.005645709,0.001779213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002825817,"about_ca_system_score_gemma":0.003169911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002290063,"about_ca_topic_score_gemma":0.001665906,"domain_scores_codex":[0.9980541,0.0007187785,0.0001397264,0.0002246457,0.0006965769,0.0001661384],"domain_scores_gemma":[0.9969013,0.001910053,0.0001345661,0.0002958668,0.0006011555,0.0001570624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001075304,0.00002115633,0.0002306427,0.0005447795,0.00001364012,0.0001081061,0.000449011,0.001371552,0.000415718,0.8842885,0.01709788,0.0954482],"study_design_scores_gemma":[0.000004065059,0.00002589935,0.0002511296,0.0009425047,0.00001645921,0.0004758509,0.001038342,0.007548373,0.0006122549,0.5362363,0.4528033,0.0000455797],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.009823438,0.3729851,0.3232203,0.1227519,0.008497997,0.0002124652,0.0004878516,0.0008136845,0.1612073],"genre_scores_gemma":[0.1437228,0.6676439,0.1361928,0.01331951,0.01558857,0.0004389429,0.0008032753,0.0004094399,0.0218808],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007680249,"threshold_uncertainty_score":0.02050281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1291945256777531,"score_gpt":0.3183264033468926,"score_spread":0.1891318776691395,"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."}}