{"id":"W1986263636","doi":"10.1007/s11235-010-9410-3","title":"Adaptive pulse-shaped OFDM with application to in-home power line communications","year":2011,"lang":"en","type":"article","venue":"Telecommunication Systems","topic":"Power Line Communications and Noise","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Guard interval; Computer science; Orthogonal frequency-division multiplexing; Overhead (engineering); Guard (computer science); Power-line communication; Narrowband; Wideband; Electronic engineering; Channel (broadcasting); Telecommunications; Power (physics); Physics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005381812,0.0002693991,0.0003555355,0.000414772,0.0001684245,0.00004661679,0.002312687,0.0001297041,0.00004445938],"category_scores_gemma":[0.00002156978,0.0002660933,0.00004869215,0.001144299,0.00009639178,0.0002981003,0.0003475681,0.0004453489,0.000342363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002197178,"about_ca_system_score_gemma":0.00003861557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007850453,"about_ca_topic_score_gemma":0.001232281,"domain_scores_codex":[0.9982961,0.0002269237,0.0007096052,0.0002457687,0.000187645,0.0003339308],"domain_scores_gemma":[0.994178,0.0001628515,0.0001395301,0.005118548,0.000240123,0.0001609509],"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":[0.002333595,0.01242955,0.08688332,0.00100189,0.002703008,0.00002765996,0.1445549,0.1173878,0.08168662,0.3859582,0.01131913,0.1537142],"study_design_scores_gemma":[0.004612125,0.001417199,0.1709951,0.00115472,0.0001606891,0.0001196373,0.009201702,0.6483675,0.002116656,0.001322067,0.1566902,0.003842418],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.288695,0.02374804,0.3460461,0.001884007,0.0006017415,0.009139319,0.0001932466,0.004105785,0.3255867],"genre_scores_gemma":[0.9806957,0.0006184372,0.01698052,0.00007328045,0.00001849818,0.001339759,0.000102153,0.00007996146,0.00009168538],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6920007,"threshold_uncertainty_score":0.9999791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03875840730126047,"score_gpt":0.2516759414928734,"score_spread":0.212917534191613,"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."}}