{"id":"W4408313512","doi":"10.1137/23m1574051","title":"Neural DAEs: Constrained Neural Networks","year":2025,"lang":"en","type":"article","venue":"SIAM Journal on Scientific Computing","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Artificial neural network; Mathematics; Applied mathematics; Computer science; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006542688,0.000201201,0.0002328569,0.0002232763,0.001125558,0.0009108989,0.0003412154,0.00004019351,0.0003779155],"category_scores_gemma":[0.00001266441,0.0001710282,0.0002313667,0.0006603613,0.0001886829,0.0001526208,0.0001031549,0.0008009595,0.00001665995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003171283,"about_ca_system_score_gemma":0.00007163039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003074819,"about_ca_topic_score_gemma":4.014488e-7,"domain_scores_codex":[0.9982232,0.0001317019,0.0004760463,0.0003855918,0.0002812698,0.0005021879],"domain_scores_gemma":[0.9990549,0.0001427576,0.0002249622,0.000248209,0.0001455798,0.0001835661],"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":[0.00003466614,0.0001024199,0.004334649,0.000004717888,0.00005623656,0.00001315849,0.0001154229,0.6171069,0.0001906308,0.01273169,0.01851217,0.3467973],"study_design_scores_gemma":[0.0005124361,0.00003169434,0.0005607108,0.00007863121,0.00001527656,0.00002629475,0.000195564,0.9915187,0.00008105763,0.001031389,0.005787984,0.0001602745],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7830035,0.0001660804,0.1758221,0.001510909,0.01616143,0.0002078415,0.000003813903,0.00008944563,0.02303487],"genre_scores_gemma":[0.9955178,7.774699e-7,0.0002064474,0.0003311254,0.001276885,7.393774e-7,0.000009225068,0.00001101343,0.002645922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3744117,"threshold_uncertainty_score":0.8783819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01746050580735441,"score_gpt":0.2828211656691167,"score_spread":0.2653606598617623,"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."}}