{"id":"W4288071811","doi":"10.1109/jlt.2022.3193635","title":"Zipper Codes","year":2022,"lang":"en","type":"article","venue":"Journal of Lightwave Technology","topic":"Error Correcting Code Techniques","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Zipper; Diagonal; Concatenated error correction code; Block code; Computer science; Serial concatenated convolutional codes; Turbo code; Algorithm; Decoding methods; Linear code; Theoretical computer science; Mathematics","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":[0.001038356,0.0008839466,0.001251968,0.002963274,0.001625738,0.002636778,0.001527372,0.00168663,0.01496634],"category_scores_gemma":[0.007876848,0.0004234246,0.0008472032,0.002895029,0.002052766,0.003069509,0.001658435,0.001955686,0.006527822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001406843,"about_ca_system_score_gemma":0.001560077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00188554,"about_ca_topic_score_gemma":0.001689052,"domain_scores_codex":[0.9977633,0.0004260113,0.0001219951,0.0003952787,0.0009182984,0.0003750362],"domain_scores_gemma":[0.9955354,0.001564651,0.0004193027,0.0009662249,0.001344914,0.0001694603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001163059,0.00002877394,0.0005940631,0.0001722562,0.00002693427,0.000274955,0.000190953,0.02901936,0.003538159,0.9170175,0.01205719,0.03696368],"study_design_scores_gemma":[0.00004064829,0.00008550255,0.000382147,0.0001191,0.0000269599,0.0007084048,0.000103486,0.1545859,0.005719768,0.7817804,0.05635694,0.00009091991],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0298457,0.002274862,0.900429,0.0006944243,0.0004001713,0.0003156599,0.002713611,0.002166785,0.06115969],"genre_scores_gemma":[0.6336181,0.004515069,0.2850225,0.001756551,0.0007412094,0.001159531,0.003893697,0.001130412,0.068163],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01496634,"threshold_uncertainty_score":0.05006737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009033086254132206,"score_gpt":0.243613065919382,"score_spread":0.2345799796652498,"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."}}