{"id":"W2291318941","doi":"10.1145/2714570","title":"Algorithm 956","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Mathematical Software","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada; Compute Canada","keywords":"Computation; Computer science; Redundancy (engineering); Algorithm; Convergence (economics); Continuation; Predictor–corrector method; Nonlinear system; Mathematical optimization; Iterative method; Underdetermined system; Speedup; Mathematics; Applied mathematics; Parallel computing","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":["insufficient_payload"],"category_scores_codex":[0.00005096735,0.0001389631,0.0001496583,0.00003760347,0.0001370586,0.00002150134,0.0001804376,0.00004568238,0.00938587],"category_scores_gemma":[0.0000138934,0.00008576531,0.0001483386,0.0001000869,0.00005729153,0.0001069066,0.000005091697,0.0001309126,0.001135621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001681718,"about_ca_system_score_gemma":0.0000128222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002467111,"about_ca_topic_score_gemma":1.297347e-7,"domain_scores_codex":[0.9992006,0.00002388022,0.000183002,0.0002103132,0.0001608368,0.0002213498],"domain_scores_gemma":[0.9990981,0.0003052731,0.0000326036,0.0004016912,0.00003104303,0.000131294],"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":[0.000005194292,0.000156322,0.00001735821,0.000004351281,0.00002855018,5.865179e-7,0.00002626243,0.00003781125,0.0000520034,0.001156937,0.0001094048,0.9984052],"study_design_scores_gemma":[0.000575438,0.00006777089,0.00003636116,0.0001005157,0.0000392982,0.000005927682,0.00006107927,0.0003066469,0.004212361,0.9893798,0.004955087,0.0002597597],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00215225,0.000004228374,0.9958811,0.001099109,0.0001383013,0.0001186187,0.00004319422,0.000145219,0.000417966],"genre_scores_gemma":[0.3924529,0.00001082754,0.5918292,0.0002580338,0.0003972227,0.0001589705,0.000007284639,0.00006243988,0.01482315],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9981455,"threshold_uncertainty_score":0.9996421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01937358525776292,"score_gpt":0.2579117629212377,"score_spread":0.2385381776634748,"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."}}