{"id":"W4367316093","doi":"10.4208/cicp.oa-2022-0204","title":"The Bulk-Surface Virtual Element Method for Reaction-Diffusion PDEs: Analysis and Applications","year":2023,"lang":"en","type":"article","venue":"Communications in Computational Physics","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Reaction–diffusion system; Diffusion; Computer science; Surface (topology); Computational science; Finite element method; Element (criminal law); Materials science; Mathematics; Geometry; Mathematical analysis; Physics; Thermodynamics; Political science","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":[0.0006791312,0.0006428218,0.0006411206,0.000505138,0.0003642576,0.0006686574,0.001156084,0.001277805,0.003445473],"category_scores_gemma":[0.001524813,0.0003480978,0.0008615706,0.0004883687,0.0006934151,0.0007923307,0.001462241,0.00131539,0.001409632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003429894,"about_ca_system_score_gemma":0.0009774133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001621553,"about_ca_topic_score_gemma":0.001325367,"domain_scores_codex":[0.9996717,0.0001055651,0.00001640595,0.00003537867,0.0001482507,0.00002262825],"domain_scores_gemma":[0.9994166,0.0003025304,0.00004197862,0.00005660128,0.0001435375,0.00003876246],"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":[0.0001047371,0.0001070226,0.001078263,0.000471993,0.00005886197,0.0001734295,0.0002362795,0.7403972,0.02679219,0.1099908,0.004137055,0.116452],"study_design_scores_gemma":[0.00000556665,0.00001540573,0.00003655619,0.00001170445,0.000002894811,0.00002979427,0.00001111724,0.9885529,0.001290016,0.005938938,0.004098369,0.000006716838],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003362945,0.0002327643,0.9941351,0.000100848,0.00005066926,0.00002618439,0.00004424829,0.0001225783,0.001924631],"genre_scores_gemma":[0.1744418,0.0009486253,0.8140993,0.0001721679,0.00009639283,0.0004092173,0.0003807354,0.0004089597,0.009042954],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003445473,"threshold_uncertainty_score":0.01152629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04880301443560699,"score_gpt":0.3892238780782027,"score_spread":0.3404208636425958,"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."}}