{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007911244,0.001587812,0.001190803,0.001790948,0.00142422,0.003288368,0.002551073,0.0016525,0.1592043],"category_scores_gemma":[0.003755656,0.0005401212,0.001225084,0.001840735,0.0006870375,0.001997039,0.002930656,0.00151073,0.0723561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001043373,"about_ca_system_score_gemma":0.002570062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002677329,"about_ca_topic_score_gemma":0.00342185,"domain_scores_codex":[0.9988168,0.0001879706,0.00009162703,0.0004233659,0.0003122393,0.0001679727],"domain_scores_gemma":[0.9990857,0.0002115715,0.00003948127,0.000256822,0.0003588302,0.00004768068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004260003,0.0001969607,0.001862312,0.0006364632,0.0001358401,0.0002536337,0.0001918692,0.05259341,0.003409854,0.1516051,0.170049,0.6186396],"study_design_scores_gemma":[0.0004209063,0.0001634212,0.0007575809,0.00021756,0.00008354577,0.0007187833,0.0002776039,0.3365025,0.007662891,0.2494985,0.4036117,0.00008514856],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007235048,0.0006305588,0.8680109,0.0009762691,0.0007695421,0.0009696718,0.005509636,0.008882214,0.1070161],"genre_scores_gemma":[0.08408066,0.000658882,0.7378071,0.001150173,0.0002697021,0.001955376,0.01799935,0.005132511,0.1509462],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1592043,"threshold_uncertainty_score":0.5325916,"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."}}