{"id":"W4386316814","doi":"10.1007/s40314-023-02434-3","title":"Solving inverse problems for mixed-variational equations on perforated domains","year":2023,"lang":"en","type":"article","venue":"Computational and Applied Mathematics","topic":"Advanced Mathematical Modeling in Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Agencia Estatal de Investigación; Junta de Andalucía; Universidad de Granada","keywords":"Inverse; Convergence (economics); Applied mathematics; Inverse problem; Mathematics; Work (physics); Mathematical analysis; Mathematical optimization; Physics; Geometry; Thermodynamics","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":[0.001423778,0.0009549137,0.001358594,0.0008192522,0.0006727591,0.001669062,0.001117727,0.002170819,0.001441088],"category_scores_gemma":[0.005070517,0.000619301,0.001068419,0.0003282868,0.002505162,0.001246238,0.002849468,0.001289659,0.0000972316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006461737,"about_ca_system_score_gemma":0.0007970497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002831536,"about_ca_topic_score_gemma":0.001270024,"domain_scores_codex":[0.9994425,0.0002243844,0.00002651473,0.0001073956,0.0001261018,0.00007303595],"domain_scores_gemma":[0.9980696,0.001394467,0.0001815278,0.0000666793,0.0001822293,0.0001054346],"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":[0.0001538142,0.00008435005,0.001563932,0.0002103618,0.0001053322,0.0005319143,0.0002151862,0.8634363,0.01493087,0.1123354,0.0003210298,0.00611158],"study_design_scores_gemma":[0.00001073018,0.00002478762,0.0000971683,0.000008510512,0.000004930766,0.00004476903,0.0000340966,0.9891939,0.0009915886,0.009393334,0.0001888072,0.000007277907],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2353291,0.000524944,0.7573082,0.0006185501,0.00008461557,0.00007741345,0.00006282329,0.00006329797,0.005931012],"genre_scores_gemma":[0.89902,0.0002629754,0.09636258,0.0001044963,0.00005358646,0.0001427106,0.00006795036,0.00004429984,0.003941446],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002831536,"threshold_uncertainty_score":0.007529736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03844284448352128,"score_gpt":0.2617783330666297,"score_spread":0.2233354885831084,"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."}}