{"id":"W2150113891","doi":"10.1109/isplc.2009.4913419","title":"Coded narrowband transmission over noisy powerline channels","year":2009,"lang":"en","type":"article","venue":"","topic":"Power Line Communications and Noise","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Narrowband; Computer science; Channel (broadcasting); Noise (video); Transmission (telecommunications); Asynchronous communication; Electronic engineering; Markov chain; Bit error rate; Power-line communication; Telecommunications; Engineering; Power (physics); Artificial intelligence; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006488323,0.000101822,0.0001035272,0.00005566875,0.00004441039,0.00002004277,0.0001646721,0.00005348977,0.0005220002],"category_scores_gemma":[0.000003557135,0.00008720128,0.00004598678,0.0001281604,0.000008324223,0.00009923299,0.000007193466,0.0001035191,0.00003954521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001481399,"about_ca_system_score_gemma":0.000005417539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003520973,"about_ca_topic_score_gemma":0.000001852053,"domain_scores_codex":[0.9995367,0.000008830919,0.0001473308,0.00008184773,0.00007403729,0.0001512858],"domain_scores_gemma":[0.9995578,0.00001548355,0.000008354144,0.0003200447,0.00001806237,0.00008028992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001285714,0.0007580679,0.0001579256,0.00008444003,0.000118056,0.00002572251,0.002927175,0.02938369,0.3938981,0.009001819,0.1773538,0.3861626],"study_design_scores_gemma":[0.001230331,0.0001030876,0.003704128,0.00005689876,0.00001695531,0.000009285243,0.00002767834,0.2797771,0.04736024,0.001294574,0.6659528,0.000466903],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6070783,0.007074798,0.1526077,0.004823152,0.0007352948,0.0005018066,0.0000159797,0.002393282,0.2247698],"genre_scores_gemma":[0.9949082,0.0003115984,0.0028286,0.0002196498,0.0000482361,0.00000290705,0.00001543501,0.00001327852,0.001652158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.488599,"threshold_uncertainty_score":0.5715536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009243726120828185,"score_gpt":0.2349657592975191,"score_spread":0.2257220331766909,"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."}}