{"id":"W2508214422","doi":"10.1109/iscas.2016.7527441","title":"Performance of DCSK system with blanking circuit for power-line communications","year":2016,"lang":"en","type":"article","venue":"","topic":"Power Line Communications and Noise","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Blanking; Robustness (evolution); Computer science; Differential phase; Keying; Electronic engineering; Bit error rate; Phase-shift keying; Modulation (music); Amplitude and phase-shift keying; Quadrature amplitude modulation; Channel (broadcasting); Phase noise; Control theory (sociology); Telecommunications; Acoustics; Physics; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006413764,0.000500956,0.0005678168,0.0002919796,0.0005896909,0.0006108566,0.0005168427,0.0007885394,0.001830132],"category_scores_gemma":[0.002204723,0.0001400015,0.000193133,0.0003332635,0.0006405416,0.0008302195,0.0005196344,0.0004381694,0.0002875992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005636456,"about_ca_system_score_gemma":0.0004033475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008300961,"about_ca_topic_score_gemma":0.0006219835,"domain_scores_codex":[0.999313,0.0002017818,0.00003699105,0.000130415,0.0001980557,0.0001196272],"domain_scores_gemma":[0.9982415,0.0008553729,0.0002535408,0.0002134545,0.000359551,0.00007654818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.006569431,0.0003365889,0.01597795,0.0008069864,0.0002805357,0.001459774,0.0009948198,0.3048821,0.5688152,0.01826263,0.001731094,0.07988292],"study_design_scores_gemma":[0.0001165265,0.001132331,0.003606724,0.00004266838,0.0000994429,0.0004828247,0.0001112064,0.83542,0.1558284,0.002154988,0.0009382327,0.00006654389],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9194332,0.0004335713,0.07469349,0.0003033254,0.00005813808,0.00003308832,0.0001107956,0.0005259373,0.004408464],"genre_scores_gemma":[0.9980053,0.00005390297,0.001564077,0.00001717822,0.000005957164,0.000004990216,0.00002131724,0.000007511238,0.0003196499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001830132,"threshold_uncertainty_score":0.00612241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02573747404715613,"score_gpt":0.2275091043349486,"score_spread":0.2017716302877925,"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."}}