{"id":"W2017533742","doi":"10.1109/tc.2012.95","title":"Multiway Splitting Method for Toeplitz Matrix Vector Product","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Computers","topic":"Coding theory and cryptography","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Toeplitz matrix; Mathematics; Generalization; Matrix (chemical analysis); Matrix multiplication; Levinson recursion; Product (mathematics); Integer (computer science); Combinatorics; Computational complexity theory; Discrete mathematics; Algebra over a field; Algorithm; Pure mathematics; Computer science; Mathematical analysis","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":[0.0004043764,0.000489704,0.0003769371,0.0009404424,0.0004634559,0.0006772869,0.0007555655,0.0004128745,0.006290617],"category_scores_gemma":[0.001140124,0.0001994262,0.0004269128,0.0008041664,0.000590503,0.001758373,0.0009495613,0.0009003467,0.001819855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004779814,"about_ca_system_score_gemma":0.0005263815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007406552,"about_ca_topic_score_gemma":0.001486394,"domain_scores_codex":[0.9996823,0.00005254909,0.00002365467,0.00004311627,0.0001552265,0.00004315477],"domain_scores_gemma":[0.9996462,0.00008921153,0.00002095859,0.00008535231,0.000132317,0.00002596689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001420251,0.00008032987,0.0006240213,0.0001616503,0.00002820879,0.0003044217,0.0004233545,0.03055433,0.04192627,0.5393978,0.005415755,0.3809419],"study_design_scores_gemma":[0.00003513548,0.0001619869,0.0002985095,0.00003993875,0.00002197596,0.0003509203,0.0001037663,0.6779017,0.03599,0.2682932,0.01676539,0.00003757821],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02071228,0.0002139632,0.9712833,0.00006705833,0.00005938931,0.00003827338,0.00004459863,0.0003566796,0.007224413],"genre_scores_gemma":[0.2905809,0.000347956,0.6980397,0.0001105077,0.00006578671,0.0001549735,0.0002224731,0.0003084014,0.01016933],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006290617,"threshold_uncertainty_score":0.02104419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02464051070049334,"score_gpt":0.2999153595971561,"score_spread":0.2752748488966628,"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."}}