{"id":"W1604695990","doi":"10.1007/3-540-45624-4_12","title":"On Senary Simplex Codes","year":2001,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Coding theory and cryptography","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Simplex; Weight distribution; Orthogonality; Computer science; Block code; Linear code; Hierarchy; Binary number; Discrete mathematics; Mathematics; Combinatorics; Algorithm; Arithmetic; Decoding methods; Physics; Geometry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008941498,0.0005811098,0.0004999763,0.00116216,0.0003643115,0.000530243,0.003946241,0.0003028153,0.00008620698],"category_scores_gemma":[0.00006906734,0.0005211072,0.0002207746,0.0009273033,0.0007783306,0.00042194,0.001161548,0.0008926922,0.0001211225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001548404,"about_ca_system_score_gemma":0.0002591382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007484784,"about_ca_topic_score_gemma":0.00002481146,"domain_scores_codex":[0.9962086,0.00005408724,0.000413625,0.001636741,0.0009466957,0.0007402666],"domain_scores_gemma":[0.996668,0.0009770439,0.0002071858,0.00180799,0.0001352344,0.0002045685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001025423,0.00002987386,0.00001236943,0.00001203284,0.000008877723,0.0001723483,0.0002345203,0.00637929,0.00003018034,0.3965189,0.00008682987,0.5965045],"study_design_scores_gemma":[0.0001830026,0.00032684,0.00003812981,0.0002897361,0.000005420075,0.00009559801,7.579225e-8,0.07871062,0.0003541361,0.9093055,0.01003526,0.0006557302],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0001514709,0.0002110742,0.9627242,0.0006524305,0.001390862,0.000242604,0.000005007121,0.0003102666,0.03431208],"genre_scores_gemma":[0.640264,0.0001823948,0.3425463,0.01391454,0.001587738,0.00002319043,0.00001568427,0.0001250603,0.00134107],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6401126,"threshold_uncertainty_score":0.999724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01759614767029209,"score_gpt":0.2446560881849731,"score_spread":0.2270599405146811,"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."}}