{"id":"W4200567148","doi":"10.1016/j.jcp.2021.110863","title":"Machine learning and reduced order computation of a friction stir welding model","year":2021,"lang":"en","type":"article","venue":"Journal of Computational Physics","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University; National Research Council Canada; Fields Institute for Research in Mathematical Sciences","funders":"","keywords":"Nonlinear system; Artificial neural network; Partial differential equation; Computation; Model order reduction; Computer science; Applied mathematics; Algorithm; Mathematics; Mathematical optimization; Control theory (sociology); Artificial intelligence; Mathematical analysis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004338535,0.0004175493,0.001296345,0.0005432938,0.0007431082,0.001076649,0.001103022,0.001574254,0.003412985],"category_scores_gemma":[0.001863693,0.000579406,0.0007836273,0.0004419466,0.0008395003,0.0008204936,0.0005922447,0.001192951,0.0003633546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001359745,"about_ca_system_score_gemma":0.001520943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01916006,"about_ca_topic_score_gemma":0.01536681,"domain_scores_codex":[0.9998769,0.00003630421,0.000005335623,0.00002327528,0.00003733431,0.00002083756],"domain_scores_gemma":[0.9993873,0.0003921275,0.00005235827,0.00004690586,0.00008089209,0.00004048616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002123936,0.00001396539,0.0001285672,0.00001897286,0.000007254218,0.0000249035,0.00001653693,0.9904479,0.0004385056,0.006584114,0.0001320463,0.002166023],"study_design_scores_gemma":[0.000001509514,0.000001966925,0.00002169724,8.455275e-7,8.361001e-7,0.000001721832,0.000001396324,0.9987476,0.00005398578,0.001127544,0.00003979018,0.000001192502],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1984828,0.0007291779,0.7824319,0.0009614548,0.000148273,0.00008016147,0.00022554,0.0007208955,0.0162198],"genre_scores_gemma":[0.9650466,0.0001504498,0.02768543,0.00006016124,0.00002958653,0.00006172151,0.0001113309,0.0000937865,0.006760902],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01916006,"threshold_uncertainty_score":0.03809708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02002643048890751,"score_gpt":0.2788107186814834,"score_spread":0.2587842881925759,"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."}}