{"id":"W2153426570","doi":"10.1109/isplc.2006.247444","title":"Bit-Interleaved Coded Modulation with Iterative Decoding in Impulsive Noise","year":2006,"lang":"en","type":"article","venue":"","topic":"Power Line Communications and Noise","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Demodulation; Computer science; Decoding methods; Noise (video); Bit error rate; Electronic engineering; Impulse noise; Interference (communication); Modulation (music); Noise power; Channel (broadcasting); Error detection and correction; Algorithm; Telecommunications; Power (physics); Engineering; Artificial intelligence","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":[0.0006769145,0.0003822733,0.0003745786,0.0002806786,0.0002246692,0.000443426,0.0005284361,0.0006402642,0.0002280368],"category_scores_gemma":[0.003649056,0.0001639666,0.0001265884,0.0006155262,0.0007161126,0.000636482,0.0003889902,0.0004086619,0.000133385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003974964,"about_ca_system_score_gemma":0.0003902681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001188167,"about_ca_topic_score_gemma":0.0009777504,"domain_scores_codex":[0.9992694,0.0002824643,0.00002551469,0.00003606311,0.0003364948,0.00005001187],"domain_scores_gemma":[0.9985546,0.0009821882,0.000149223,0.0001167734,0.0001789784,0.00001807823],"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":[0.0003272226,0.00005973761,0.002117023,0.0001364414,0.00004125948,0.0003709871,0.0003808087,0.846513,0.0434508,0.0402915,0.0002537008,0.06605751],"study_design_scores_gemma":[0.000007357331,0.00006178964,0.0001509155,0.000007770268,0.000006145264,0.00007954887,0.0000113599,0.9849637,0.01173337,0.002737516,0.0002338023,0.000006752897],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2232412,0.0004506135,0.7726954,0.00009761702,0.00001870012,0.00001550525,0.00001426537,0.0002714184,0.003195281],"genre_scores_gemma":[0.9432585,0.000195937,0.05565222,0.00003366301,0.00001036452,0.00001749304,0.00001652857,0.00001514214,0.0008001039],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001188167,"threshold_uncertainty_score":0.003579915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006399785770043382,"score_gpt":0.210434974524814,"score_spread":0.2040351887547706,"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."}}