{"id":"W2111299785","doi":"10.5281/zenodo.53439","title":"Nonlinear Equalization Structure For High-Speed Adsl In Ideal And Non Ideal Conditions","year":2006,"lang":"en","type":"article","venue":"","topic":"Power Line Communications and Noise","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Asymmetric digital subscriber line; Equalization (audio); Ideal (ethics); Computer science; Digital subscriber line; Interference (communication); Intersymbol interference; Transmission (telecommunications); Equalizer; Electronic engineering; Channel (broadcasting); Nonlinear system; Modulation (music); Bit error rate; Frequency domain; Topology (electrical circuits); Telecommunications; Electrical engineering; Engineering; Acoustics","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":[0.0002718146,0.0004220569,0.0002023931,0.0003105693,0.000614392,0.0007812231,0.0004547386,0.0005252057,0.004877935],"category_scores_gemma":[0.000413063,0.000139118,0.0001931391,0.0001859004,0.0004279181,0.0006104599,0.0002984139,0.0004379197,0.001426042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006234047,"about_ca_system_score_gemma":0.0004046358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006755962,"about_ca_topic_score_gemma":0.002234617,"domain_scores_codex":[0.9998608,0.00003313907,0.000006958952,0.00002140907,0.00005450641,0.00002324013],"domain_scores_gemma":[0.9997321,0.00006454071,0.00002948901,0.00003439418,0.0001260209,0.0000135254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001352461,0.0003320575,0.001892861,0.0003402833,0.00008240451,0.0004726678,0.0004946725,0.04155485,0.6611495,0.1380021,0.006118025,0.1482081],"study_design_scores_gemma":[0.0001752448,0.0008151018,0.002008094,0.00009604626,0.0001198102,0.001084625,0.0001549643,0.6309817,0.3169979,0.02346878,0.02399809,0.00009965197],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2102481,0.0007121721,0.7413585,0.0012073,0.000368615,0.0001240364,0.0002305901,0.001503832,0.04424687],"genre_scores_gemma":[0.8663338,0.0003468661,0.101942,0.0003386725,0.0002199722,0.00005767713,0.0002272767,0.0001040618,0.03042968],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004877935,"threshold_uncertainty_score":0.01631826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008546874739822352,"score_gpt":0.2481371597073046,"score_spread":0.2395902849674822,"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."}}