{"id":"W2401714080","doi":"10.1145/2818312","title":"Algorithm 962","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Mathematical Software","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fortran; Computer science; Collocation (remote sensing); Interpolation (computer graphics); Algorithm; Partial differential equation; Software; Order of accuracy; Applied mathematics; Mathematical optimization; Mathematics; Method of characteristics; Mathematical analysis; Artificial intelligence","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001176881,0.0002087589,0.0002483937,0.00007840976,0.00008162152,0.0000166559,0.0003032439,0.00009510393,0.0008840888],"category_scores_gemma":[0.0005514797,0.0001421869,0.0001160462,0.0002144466,0.00008095668,0.0001356751,0.000006961728,0.0001682475,0.001092686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001012998,"about_ca_system_score_gemma":0.000008641848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.491668e-8,"about_ca_topic_score_gemma":7.586579e-8,"domain_scores_codex":[0.9988754,0.00002992358,0.0003220306,0.0001955473,0.0002925635,0.0002844895],"domain_scores_gemma":[0.9964725,0.002793208,0.00002627794,0.0005133359,0.00004737509,0.000147281],"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":[0.000002394794,0.00007326984,9.568109e-7,0.0000675045,0.00003377548,0.000003346087,0.00003811241,0.003606061,0.000122788,0.0004672707,0.00001818025,0.9955664],"study_design_scores_gemma":[0.0002387892,0.00004731525,0.00001418701,0.0001462891,0.00002136803,0.00002254037,0.0000133687,0.003761139,0.003069088,0.9914392,0.0009921265,0.0002345953],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002625044,0.00002296721,0.9977282,0.0002736663,0.0002052639,0.0001600339,0.00004072578,0.00115237,0.0001543156],"genre_scores_gemma":[0.003183035,0.000022217,0.9962119,0.00007742423,0.00004477611,0.00008049618,8.016347e-7,0.00006759913,0.0003116766],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9953318,"threshold_uncertainty_score":0.999685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02474964844562203,"score_gpt":0.2834860973538823,"score_spread":0.2587364489082603,"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."}}