{"id":"W2804731860","doi":"","title":"Optimization of model reduction methods with respect to quantities of interest","year":2016,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Reduction (mathematics); Computer science; Mathematics","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":[0.001606466,0.0002115224,0.0003589232,0.0001902148,0.00008470527,0.00005575009,0.000445966,0.0001015634,0.0001648094],"category_scores_gemma":[0.00008056469,0.0001792292,0.0001410495,0.000220901,0.0001687676,0.0001022275,0.0004094002,0.0002566816,0.000001919285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003446911,"about_ca_system_score_gemma":0.0001605183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003295624,"about_ca_topic_score_gemma":0.00003774975,"domain_scores_codex":[0.9970333,0.001731542,0.0004743623,0.0004269197,0.0001691207,0.0001647634],"domain_scores_gemma":[0.9964937,0.0002690504,0.0006007045,0.001028828,0.001513285,0.0000944594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001470586,0.000489773,0.000355093,0.000170612,0.0002036197,1.732761e-7,0.005524722,0.3639255,0.0193867,0.5485312,0.0009115574,0.06035408],"study_design_scores_gemma":[0.000503134,0.000002295557,0.00007045275,0.003230469,0.00008443804,0.000002160341,0.0003265165,0.5012033,0.4666444,0.02714987,0.0003552058,0.000427708],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05479338,0.00007446831,0.9207532,0.001911151,0.0001339696,0.000296866,0.00005892174,0.00004039072,0.02193768],"genre_scores_gemma":[0.719631,0.00004653696,0.276789,0.000005481059,0.0000286723,0.00003370036,0.00008855258,0.00002592118,0.003351131],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6648376,"threshold_uncertainty_score":0.7308755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05513593010861137,"score_gpt":0.3051501720223571,"score_spread":0.2500142419137457,"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."}}