{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000681361,0.0008336397,0.0008507083,0.000498525,0.0002642756,0.001055922,0.001338359,0.00103653,0.009909145],"category_scores_gemma":[0.002880502,0.0004350884,0.0004211373,0.0009976038,0.0005952893,0.001482356,0.00146688,0.001999413,0.002617262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003473367,"about_ca_system_score_gemma":0.0004653913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001980115,"about_ca_topic_score_gemma":0.002732245,"domain_scores_codex":[0.9997359,0.00009629027,0.00001577584,0.00006198166,0.0000749489,0.00001517973],"domain_scores_gemma":[0.9995424,0.0002202419,0.0000348694,0.00008335534,0.00008883942,0.00003030815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001359842,0.00007686968,0.0002992783,0.0004297619,0.0001221682,0.00009965298,0.00005738087,0.4566791,0.003713714,0.2350433,0.02477708,0.2785657],"study_design_scores_gemma":[0.000009877332,0.00001027758,0.00004678172,0.00001538272,0.000006980803,0.00001753176,0.000004028375,0.9334835,0.0007094615,0.05915228,0.006536913,0.000006924933],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001532359,0.001098573,0.9928777,0.0002375601,0.0001841644,0.000035222,0.0002463174,0.0008793634,0.002908718],"genre_scores_gemma":[0.2039473,0.003473147,0.7639642,0.000557107,0.0004106804,0.0005442605,0.001218243,0.001192337,0.02469264],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009909145,"threshold_uncertainty_score":0.03314942,"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."}}