{"id":"W2098779848","doi":"10.1109/ccece.1993.332303","title":"Gradient descent decoding of binary cyclic codes","year":2002,"lang":"en","type":"article","venue":"","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Code word; Decoding methods; Parity-check matrix; Maxima and minima; Permutation (music); Mathematics; Hamming distance; BCH code; List decoding; Algorithm; Hamming code; Hopfield network; Binary code; Discrete mathematics; Binary number; Computer science; Artificial neural network; Block code; Concatenated error correction code; Arithmetic; 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":[0.0003581415,0.0002424979,0.0003172861,0.0002470872,0.0002643699,0.000417199,0.0003955561,0.0005037441,0.001832737],"category_scores_gemma":[0.002195137,0.0001504995,0.0001304309,0.0003461102,0.0005390483,0.0005279084,0.0003832222,0.0003152006,0.0002963671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007847493,"about_ca_system_score_gemma":0.0007986794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005769017,"about_ca_topic_score_gemma":0.005576362,"domain_scores_codex":[0.9997939,0.00005788747,0.00001048118,0.00003097843,0.00007159603,0.00003508207],"domain_scores_gemma":[0.9995674,0.0002125864,0.00004986389,0.00003809694,0.0001137998,0.0000182283],"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":[0.00008445343,0.00003376628,0.0006294955,0.00006754502,0.00001553522,0.0000829859,0.00005937271,0.8622729,0.007070302,0.04585819,0.002117987,0.08170755],"study_design_scores_gemma":[0.000004909254,0.00001117432,0.00009769481,0.00000398768,8.231052e-7,0.00001718714,0.000003706547,0.9912793,0.001550096,0.006585624,0.0004427131,0.00000271478],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1615816,0.0005076905,0.8169577,0.000496545,0.00009547521,0.00008947631,0.0001538919,0.000767447,0.01935022],"genre_scores_gemma":[0.817562,0.0001998652,0.1735985,0.0001250017,0.00002743435,0.0000592722,0.0001239132,0.00009020048,0.00821396],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005769017,"threshold_uncertainty_score":0.01147085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03684888407725213,"score_gpt":0.239965467049641,"score_spread":0.2031165829723888,"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."}}