{"id":"W2092122626","doi":"10.1090/s0025-5718-09-02226-1","title":"General order multivariate Padé approximants for Pseudo-multivariate functions. II","year":2009,"lang":"en","type":"article","venue":"Mathematics of Computation","topic":"Mathematical functions and polynomials","field":"Mathematics","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"Vlaamse regering; Natural Sciences and Engineering Research Council of Canada; Fonds Wetenschappelijk Onderzoek; National Natural Science Foundation of China","keywords":"Algorithm; Artificial intelligence; Mathematics; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008307801,0.0003291421,0.0006994857,0.0002088206,0.0003114688,0.00005710005,0.0002106934,0.0001756988,0.0001231825],"category_scores_gemma":[0.001160075,0.000283052,0.000231194,0.0003536223,0.00005380356,0.000188268,0.00005689452,0.0001335423,0.00003136594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004824434,"about_ca_system_score_gemma":0.00006094402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000969365,"about_ca_topic_score_gemma":0.0000020473,"domain_scores_codex":[0.9976987,0.00006723881,0.001159941,0.000329994,0.0003745505,0.0003696081],"domain_scores_gemma":[0.9971485,0.001151332,0.0006402039,0.0004184051,0.0005309984,0.0001106092],"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":[0.0001927665,0.004321138,0.00001082974,0.00162585,0.0003267245,0.000001704995,0.005241184,0.003277998,0.02144773,0.9262334,0.01610711,0.02121355],"study_design_scores_gemma":[0.001389506,0.0003601112,0.00008133425,0.0001365231,0.000162776,0.000009737506,0.0001455796,0.326799,0.002049007,0.6681564,0.0004169813,0.0002930602],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1437081,0.00001757936,0.8512105,0.0003742133,0.0003092387,0.001213939,0.00005057479,0.0001766952,0.00293919],"genre_scores_gemma":[0.2659946,0.000002234814,0.7313457,0.00007509979,0.0001815783,0.00008327616,0.0000514278,0.0000458092,0.002220248],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.323521,"threshold_uncertainty_score":0.9999622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05668495300120677,"score_gpt":0.3414167565669277,"score_spread":0.2847318035657209,"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."}}