{"id":"W4309191315","doi":"10.1109/wimob55322.2022.9941593","title":"Technical Program","year":2022,"lang":"en","type":"article","venue":"","topic":"Power Line Communications and Noise","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Zürcher Hochschule für Angewandte Wissenschaften; Université Gustave Eiffel; Universitat Autònoma de Barcelona; Universidade de Vigo; Aristotle University of Thessaloniki; Khalifa University of Science, Technology and Research; Julius-Maximilians-Universität Würzburg; Universität Wien; Amirkabir University of Technology; Indian National Science Academy; Karlstads universitet; Universität Passau; Université Bretagne Sud; Oulun Yliopisto; Technische Universität Darmstadt; Université de Lille; Technische Universität Wien; Hochschule Darmstadt; Université Monastir","keywords":"Automation; Computer science; Latency (audio); Computer network; Telecommunications; Engineering","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":[0.00003907324,0.00002180713,0.00002344411,0.00001845319,0.00004905613,0.000004519076,0.0001370074,0.000005327834,0.0006885363],"category_scores_gemma":[0.000001753959,0.0000216217,0.00001407662,0.00009814969,0.000004937287,0.00001321843,0.00008885187,0.00009082503,0.0000195645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001811122,"about_ca_system_score_gemma":0.000002738454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001624804,"about_ca_topic_score_gemma":0.000002556385,"domain_scores_codex":[0.9998357,0.000005180791,0.00004294947,0.000025702,0.00003702204,0.00005338715],"domain_scores_gemma":[0.9997776,0.000007000292,0.000001806782,0.0001963632,0.000002707952,0.00001457285],"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":[0.000005327857,0.0006105052,0.0006795412,0.00001697606,0.00002405711,0.000007664713,0.0001129642,0.02141912,0.01168172,0.05492958,0.3594776,0.551035],"study_design_scores_gemma":[0.00004279943,0.00002167268,0.0005090352,2.567518e-7,0.000001166116,0.000006065713,0.00001588468,0.0214318,0.0001431873,0.0001418434,0.9776416,0.00004464902],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03177101,0.000862892,0.005676245,0.0006838807,0.000238104,0.0003234734,0.000006969293,0.004752489,0.955685],"genre_scores_gemma":[0.9870523,0.00001220993,0.01215884,0.00003011174,0.000007037806,0.0001995279,0.00000572082,0.00000664537,0.0005276334],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9552813,"threshold_uncertainty_score":0.7538989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01186579269340647,"score_gpt":0.2492490020895992,"score_spread":0.2373832093961928,"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."}}