{"id":"W2116236808","doi":"10.1109/jstqe.2010.2044749","title":"Future Prospects for FEC in Fiber-Optic Communications","year":2010,"lang":"en","type":"article","venue":"IEEE Journal of Selected Topics in Quantum Electronics","topic":"Optical Network Technologies","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Forward error correction; Computer science; Transmission (telecommunications); Channel (broadcasting); Electronic engineering; Bit error rate; Additive white Gaussian noise; Modulation (music); Turbo code; Optical fiber; Optical communication; Benchmark (surveying); Communications system; Decoding methods; Block Error Rate; Telecommunications; Physics; Engineering","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":[0.002057679,0.0005441292,0.0004646316,0.0007132724,0.0007761517,0.001243356,0.0009249322,0.003045741,0.007723378],"category_scores_gemma":[0.002358864,0.0002349126,0.0002520661,0.0006844753,0.001350883,0.003628868,0.0006264962,0.00130585,0.00199723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009244587,"about_ca_system_score_gemma":0.0007845534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006027303,"about_ca_topic_score_gemma":0.0007800478,"domain_scores_codex":[0.9994979,0.000128844,0.00001578763,0.00004993022,0.0002379824,0.00006948229],"domain_scores_gemma":[0.9985167,0.0008775427,0.00005477538,0.00009657173,0.0003769473,0.00007736318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001457432,0.0001788344,0.0008701521,0.00114382,0.00003101017,0.0006032431,0.0002245337,0.015982,0.009030901,0.3932068,0.03136935,0.5472136],"study_design_scores_gemma":[0.00004096131,0.0003652177,0.0007596914,0.001363868,0.00003059446,0.001118638,0.000290189,0.03213418,0.009799281,0.4223368,0.5316696,0.00009083999],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02190031,0.5398598,0.1718902,0.06052726,0.005417137,0.0001137595,0.000225545,0.0008560116,0.1992099],"genre_scores_gemma":[0.3238888,0.4564724,0.1404812,0.007025343,0.008385504,0.0002051786,0.0004484443,0.0001655324,0.06292756],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007723378,"threshold_uncertainty_score":0.0258373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009092464862647871,"score_gpt":0.2457621742062233,"score_spread":0.2366697093435754,"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."}}