{"id":"W2963225323","doi":"","title":"Implementations of efficient univariate polynomial matrix algorithms and application to bivariate resultants","year":2019,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Coding theory and cryptography","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Univariate; Algorithm; Polynomial; Bivariate analysis; Gröbner basis; Decoding methods; Mathematics; Computer science; Polynomial matrix; Algebra over a field; Matrix polynomial; Multivariate statistics","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":[0.004686772,0.0002824239,0.0003705747,0.0004545859,0.0002716584,0.0003486505,0.001850335,0.0001751842,0.00001386748],"category_scores_gemma":[0.0003434664,0.000320571,0.0001483379,0.0008859259,0.0001222767,0.0001185476,0.002760367,0.0003307667,0.00002448723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006890993,"about_ca_system_score_gemma":0.0002393933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008634645,"about_ca_topic_score_gemma":0.0001444178,"domain_scores_codex":[0.9954938,0.00220587,0.0006376694,0.0009383291,0.000393043,0.0003312545],"domain_scores_gemma":[0.9945923,0.001014209,0.0005869737,0.002453017,0.001162101,0.0001914014],"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":[0.00003878179,0.0004864494,0.0006441348,0.000182055,0.0001251186,0.000001548405,0.01532915,0.004097012,0.01149414,0.8611854,0.0003325068,0.1060837],"study_design_scores_gemma":[0.002899977,0.000007751789,0.02385704,0.002206035,0.0001890845,0.00002030123,0.0003656374,0.8347377,0.0721592,0.04948696,0.01226535,0.00180497],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06012454,0.0001946374,0.9311076,0.00415771,0.0002685079,0.0008050285,0.0001524467,0.0001746931,0.003014841],"genre_scores_gemma":[0.8363171,0.00007955977,0.1628921,0.00005739222,0.00001746917,0.00007057138,0.000120418,0.0000234037,0.0004219393],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8306407,"threshold_uncertainty_score":0.9999247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01014709892854872,"score_gpt":0.2559309073322079,"score_spread":0.2457838084036591,"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."}}