{"id":"W2902553559","doi":"10.3390/en11123344","title":"A PLC Channel Model for Home Area Networks","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Power Line Communications and Noise","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"National Mobile Communications Research Laboratory, Southeast University; Natural Sciences and Engineering Research Council of Canada; Southeast University","keywords":"Circuit breaker; Power-line communication; Interrupter; Electrical engineering; Engineering; Transformer; Network topology; Channel (broadcasting); Smart grid; Fault (geology); Power network; Electronic engineering; Computer science; Electric power system; Power (physics); Computer network; Voltage","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":[0.0002199462,0.0006078685,0.000441977,0.0004100413,0.000460589,0.0009199353,0.0009552858,0.0008872912,0.006641113],"category_scores_gemma":[0.000602765,0.0002165412,0.0005036982,0.0005798493,0.0005506686,0.001232747,0.0003905549,0.00109188,0.001662641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009368276,"about_ca_system_score_gemma":0.000716878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006541725,"about_ca_topic_score_gemma":0.003572019,"domain_scores_codex":[0.9997216,0.00005773591,0.000008007665,0.00005378634,0.0001082407,0.00005072839],"domain_scores_gemma":[0.9997162,0.0001170111,0.00002964063,0.00002553406,0.00009826327,0.00001324117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004584159,0.00004735484,0.0002604392,0.000082716,0.00001593833,0.0002227349,0.00009192714,0.8122081,0.004430366,0.1622749,0.003518306,0.01680144],"study_design_scores_gemma":[0.000003674219,0.00001219286,0.00003915566,0.000004724886,0.000004587158,0.0000300585,0.000009573979,0.9856179,0.0003080289,0.01151666,0.002448026,0.000005335435],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007445686,0.0004527987,0.9671234,0.000178658,0.00008390452,0.00004018878,0.0002729456,0.0004112979,0.0239912],"genre_scores_gemma":[0.8669875,0.001954478,0.07749764,0.0002407152,0.0002183261,0.0002843263,0.0006763038,0.0002236424,0.0519171],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006641113,"threshold_uncertainty_score":0.02221674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0257391830959442,"score_gpt":0.2328678959820069,"score_spread":0.2071287128860627,"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."}}