{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007730804,0.000111973,0.000269545,0.001029357,0.00020069,0.00003154677,0.002184839,0.00008182308,0.0000626001],"category_scores_gemma":[0.0001476814,0.0001007055,0.0001115949,0.001056032,0.0000645141,0.0002322221,0.000967588,0.0008386368,0.000009363763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001675647,"about_ca_system_score_gemma":0.0001254857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002688553,"about_ca_topic_score_gemma":0.000001907225,"domain_scores_codex":[0.9986538,0.00008896657,0.0004415507,0.0001807038,0.0003893962,0.0002455991],"domain_scores_gemma":[0.998654,0.00008458307,0.000512699,0.0005111424,0.0001908884,0.00004668811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006412606,0.0007214998,0.01490246,0.00002167326,0.0002090645,0.002371958,0.001912783,0.0001908871,0.1234218,0.6318605,0.0839235,0.1403997],"study_design_scores_gemma":[0.000952917,0.004276257,0.0007429757,0.00005653801,0.00003946339,0.02169673,0.0007605936,0.002564474,0.2436481,0.2967077,0.4278936,0.0006606043],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.337368,0.001900697,0.6087056,0.04033395,0.003196949,0.0002372957,0.000002780627,0.001867987,0.006386686],"genre_scores_gemma":[0.8876899,0.00001919568,0.1116686,0.0003326676,0.00005129591,0.000008769053,1.060385e-7,0.00001086796,0.000218599],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5503219,"threshold_uncertainty_score":0.4106651,"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."}}