{"id":"W2089248193","doi":"10.1007/s10623-012-9784-1","title":"Kötter interpolation in skew polynomial rings","year":2013,"lang":"en","type":"article","venue":"Designs Codes and Cryptography","topic":"Coding theory and cryptography","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Trigonometric interpolation; Mathematics; Skew; Polynomial interpolation; Interpolation (computer graphics); Birkhoff interpolation; Spline interpolation; Lagrange polynomial; Algebra over a field; Polynomial ring; Polynomial; Noncommutative geometry; Bilinear interpolation; Linear interpolation; Difference polynomials; Orthogonal polynomials; Pure mathematics; Mathematical analysis; Computer science; Artificial intelligence; Image (mathematics)","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":[],"consensus_categories":[],"category_scores_codex":[0.0002819697,0.000188287,0.0001894613,0.0005720784,0.0001252976,0.0003757111,0.0004301225,0.0000836847,0.00008429907],"category_scores_gemma":[0.000009199654,0.0001730032,0.0001206931,0.0008154166,0.0001093362,0.0007262667,0.0001374416,0.0001630396,0.00002921726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007306869,"about_ca_system_score_gemma":0.00001168804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000136789,"about_ca_topic_score_gemma":0.00002007105,"domain_scores_codex":[0.9987551,0.0001096657,0.0002517605,0.0004020209,0.0001416874,0.0003397465],"domain_scores_gemma":[0.9993291,0.0001134669,0.00006796278,0.00033252,0.00004131786,0.0001155712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006231941,0.0002571425,0.1484395,0.00005276213,0.00008428312,0.00001851719,0.003803043,0.00001110152,0.02134015,0.6484334,0.005813005,0.1716847],"study_design_scores_gemma":[0.002268244,0.0007955497,0.426983,0.0002362747,0.00003279744,0.00006025502,0.0004235641,0.0334741,0.00254427,0.5198976,0.01170068,0.001583642],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4663571,0.0002879691,0.52929,0.000526652,0.0001701383,0.0002773708,0.000001436512,0.0001668075,0.002922619],"genre_scores_gemma":[0.9675509,0.00003724003,0.03165743,0.0006286048,0.00004463201,0.00005832542,0.000001873323,0.000009723566,0.00001129439],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5011938,"threshold_uncertainty_score":0.7054865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01248851822664694,"score_gpt":0.2144672195103788,"score_spread":0.2019787012837319,"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."}}