{"id":"W4410397326","doi":"10.1016/j.inffus.2025.103255","title":"Machine learning for modelling unstructured grid data in computational physics: A review","year":2025,"lang":"en","type":"review","venue":"Information Fusion","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; University of Calgary","funders":"Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China; National Key Research and Development Program of China; Tongji University; Agence Nationale de la Recherche; Alexander von Humboldt-Stiftung","keywords":"Computer science; Grid; Unstructured grid; Computational science; Machine learning; Artificial intelligence; Geology","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":[0.001166596,0.001258107,0.00142912,0.002751554,0.0003392392,0.001289887,0.001348302,0.001580813,0.003812049],"category_scores_gemma":[0.002261755,0.0006307492,0.000841343,0.004118287,0.0007244456,0.002581007,0.001012517,0.002358737,0.003064946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006172877,"about_ca_system_score_gemma":0.00146913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001726067,"about_ca_topic_score_gemma":0.00175816,"domain_scores_codex":[0.9996561,0.00007420471,0.00004392665,0.00007336846,0.0001320738,0.0000202864],"domain_scores_gemma":[0.9986874,0.000914541,0.00008322171,0.00004490913,0.0002290666,0.0000408296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002778209,0.00007549441,0.0002687351,0.01740509,0.0001301068,0.00009439699,0.00008100403,0.004187903,0.0008438721,0.02509516,0.03442729,0.9173632],"study_design_scores_gemma":[0.00001472227,0.0001059514,0.000645664,0.006606841,0.0001539843,0.0005859717,0.00006351282,0.004465823,0.001011899,0.01993252,0.9663433,0.00006974395],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001875626,0.9913632,0.005430279,0.0006075061,0.0003332247,0.00001605128,0.00005071524,0.00003842574,0.001972953],"genre_scores_gemma":[0.001390166,0.9941048,0.00304348,0.000246872,0.0003856401,0.00002464289,0.00008673364,0.00001540794,0.000702297],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003812049,"threshold_uncertainty_score":0.01275253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06064624552727948,"score_gpt":0.3422418128244188,"score_spread":0.2815955672971394,"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."}}