{"id":"W3144476509","doi":"","title":"Low complexity construction for quasi-cyclic low-density parity-check codes by Progressive-Block Growth","year":2011,"lang":"en","type":"article","venue":"中国科学:信息科学(英文版)","topic":"Error Correcting Code Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Low-density parity-check code; Circulant matrix; Mathematics; Block code; Permutation matrix; Permutation (music); Random permutation; Block (permutation group theory); Turbo code; Algorithm; Discrete mathematics; Error detection and correction; Combinatorics; Decoding methods","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":[0.0003501143,0.0003260405,0.0002691392,0.0006642055,0.0004317889,0.0004056977,0.000645917,0.0003658642,0.001092192],"category_scores_gemma":[0.002067792,0.0002207675,0.0003291354,0.0004748018,0.0007091684,0.0007851185,0.0006265261,0.0007589173,0.0004021652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005990184,"about_ca_system_score_gemma":0.001124356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001282295,"about_ca_topic_score_gemma":0.001644092,"domain_scores_codex":[0.9995968,0.0001000417,0.00001599569,0.00004920879,0.0002126703,0.00002529203],"domain_scores_gemma":[0.9990051,0.0004843113,0.00009434344,0.0002001203,0.0001900206,0.00002606796],"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":[0.0001473124,0.00008673605,0.001741474,0.0005503616,0.00004299794,0.0003120663,0.0003434825,0.2165529,0.1287201,0.3657816,0.00389793,0.2818232],"study_design_scores_gemma":[0.00003965728,0.00009335131,0.0005202364,0.00003243961,0.00001860187,0.0003993288,0.00002720043,0.9036986,0.05073456,0.03459439,0.009804676,0.00003694498],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02131625,0.0002010739,0.9753892,0.0001410287,0.0000297012,0.00005299135,0.00005237048,0.0002862921,0.002531078],"genre_scores_gemma":[0.2557641,0.000436179,0.7405592,0.00007108695,0.00002979947,0.0001968335,0.0002289919,0.00008768186,0.002626116],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001282295,"threshold_uncertainty_score":0.004346132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04253862161378742,"score_gpt":0.2716994727017515,"score_spread":0.2291608510879641,"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."}}