{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001242269,0.0000751797,0.0001192388,0.00005494635,0.00006055312,0.000005731667,0.0004572432,0.0000277912,0.00001620125],"category_scores_gemma":[0.0000076669,0.00004738394,0.00002866131,0.0001009144,0.00004505314,0.00009731567,0.00005219098,0.00003707853,0.00001036817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003894612,"about_ca_system_score_gemma":0.0000146431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000514806,"about_ca_topic_score_gemma":0.00001935006,"domain_scores_codex":[0.999566,0.000009402483,0.0001936752,0.00005897655,0.00005582771,0.0001160838],"domain_scores_gemma":[0.9986035,0.0001389245,0.00003616288,0.001103503,0.00008910585,0.00002883587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002343096,0.0005969628,0.04028079,0.002952432,0.001081284,0.000001379064,0.002303259,0.008721537,0.2341978,0.5644782,0.004756368,0.1403957],"study_design_scores_gemma":[0.006989355,0.001592967,0.01931016,0.0042333,0.0002302198,0.00007953843,0.001107333,0.7683884,0.08123298,0.0002413346,0.1148412,0.00175324],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6423013,0.0008998771,0.2648715,0.000387578,0.0001135414,0.0005423646,0.00007477963,0.0006565336,0.09015257],"genre_scores_gemma":[0.9930018,0.0001909089,0.006486207,0.000006336365,0.000009668094,0.00005908091,0.000006314082,0.00002002373,0.0002196402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7596669,"threshold_uncertainty_score":0.1932261,"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."}}