{"id":"W4404976907","doi":"10.1007/978-3-031-75802-7_13","title":"Tree-Based Nonlinear Reduced Modeling","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Nonlinear system; Tree (set theory); Computer science; Mathematics; Physics; 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":[0.0002183728,0.0006311671,0.0007206412,0.0003367552,0.0002580903,0.000804632,0.0008971376,0.0005354022,0.00798276],"category_scores_gemma":[0.0007128127,0.0003684453,0.0007418981,0.0007373741,0.0003892742,0.001115502,0.000683617,0.001292217,0.00497376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004099663,"about_ca_system_score_gemma":0.0003970556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003403623,"about_ca_topic_score_gemma":0.004673322,"domain_scores_codex":[0.9998749,0.00002514695,0.000005544848,0.00002398873,0.00006203221,0.000008335846],"domain_scores_gemma":[0.9998351,0.00006740498,0.00000851738,0.00004022644,0.00004406792,0.000004605073],"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":[0.0000410963,0.00003439066,0.0001289151,0.000208851,0.00006121428,0.00006617099,0.00008208885,0.4542678,0.005874234,0.1874502,0.03254106,0.3192441],"study_design_scores_gemma":[0.000002539256,0.00001032997,0.00007749488,0.00001635347,0.00001433488,0.00003627491,0.000009378657,0.8818256,0.001499752,0.09209502,0.02440347,0.000009460565],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001417108,0.0008416419,0.9812673,0.0002140461,0.0001370721,0.00001387616,0.0002175718,0.0008960053,0.01499541],"genre_scores_gemma":[0.1664557,0.005212746,0.7023993,0.0003965696,0.0003725343,0.0001799684,0.002770447,0.001669026,0.1205437],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00798276,"threshold_uncertainty_score":0.02670497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03076320339705596,"score_gpt":0.2524945619535738,"score_spread":0.2217313585565178,"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."}}