{"id":"W2074007017","doi":"10.1109/tpwrd.2014.2330197","title":"Optimal Signaling Scheme and Capacity Limit of PLC Under Bernoulli-Gaussian Impulsive Noise","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Power Delivery","topic":"Power Line Communications and Noise","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Impulse noise; Bernoulli's principle; Gaussian noise; Gaussian; Control theory (sociology); Impulse (physics); Mathematics; Noise power; Channel capacity; Topology (electrical circuits); Electronic engineering; Computer science; Channel (broadcasting); Power (physics); Telecommunications; Engineering; Algorithm; Physics","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":[0.002799014,0.00100173,0.001264283,0.001333997,0.001076835,0.002191765,0.001233871,0.001491203,0.001724448],"category_scores_gemma":[0.01681276,0.0005948599,0.0004362327,0.001468156,0.004588159,0.00318711,0.001772433,0.00133823,0.0002955071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002748939,"about_ca_system_score_gemma":0.001993835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002675464,"about_ca_topic_score_gemma":0.00116829,"domain_scores_codex":[0.9972364,0.0009288289,0.00009956188,0.0003665769,0.0007479621,0.0006205456],"domain_scores_gemma":[0.9883528,0.008204569,0.001180318,0.0006901739,0.00127381,0.000298373],"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":[0.000198412,0.00005541094,0.0008315668,0.0001688235,0.00002690809,0.0003365836,0.0002814774,0.6947061,0.007947409,0.2853124,0.0007605251,0.00937436],"study_design_scores_gemma":[0.00001311036,0.00003909509,0.0002163603,0.00003858821,0.00001107342,0.0001230214,0.00007436371,0.955319,0.001974095,0.04187436,0.000279814,0.00003707759],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2700126,0.001711963,0.7007083,0.001365129,0.00006978925,0.00008232065,0.0002734346,0.0005120615,0.02526462],"genre_scores_gemma":[0.9866009,0.0004584199,0.01174697,0.00008503732,0.00003419494,0.0000650929,0.0000439124,0.00002878728,0.0009366407],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002799014,"threshold_uncertainty_score":0.01994503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0136133528553399,"score_gpt":0.2080379581428264,"score_spread":0.1944246052874865,"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."}}