{"id":"W2074785524","doi":"10.1016/j.aei.2012.11.002","title":"Corrigendum to “Complex flow simulation in natural aquifer” [Adv. Eng. Inform. 23 (2009) 288–293]: An algorithm for parallel flow simulations in the finite element framework","year":2012,"lang":"en","type":"erratum","venue":"Advanced Engineering Informatics","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Aquifer; Finite element method; Flow (mathematics); Computer science; Algorithm; Computational science; Geology; Engineering; Geotechnical engineering; Mathematics; Groundwater; Structural engineering; Geometry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006129277,0.0008994117,0.0009208987,0.000776639,0.0001257045,0.0001064576,0.000817821,0.000556953,0.00001826033],"category_scores_gemma":[0.001371657,0.0008641838,0.0001742262,0.001245011,0.00003053393,0.001242735,0.0001192879,0.001882872,0.00002654514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006381092,"about_ca_system_score_gemma":0.00006643593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001497992,"about_ca_topic_score_gemma":0.00001113298,"domain_scores_codex":[0.9957237,0.00004647488,0.002023612,0.0002745672,0.0007789513,0.001152657],"domain_scores_gemma":[0.9960259,0.0023905,0.0003060794,0.0008274763,0.0002177738,0.0002323136],"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":[0.00001100784,0.00004810833,0.000002634992,0.0006245031,0.00004025499,0.000001513125,0.003621718,0.8979136,0.00000192649,0.0002772189,0.001505007,0.09595247],"study_design_scores_gemma":[0.0005104203,0.00009037217,0.0001251189,0.0004512785,0.0000320712,0.000003381237,0.0002544613,0.8621401,0.000003370874,0.002463948,0.1330613,0.0008641368],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00004821844,0.0003526007,0.9848597,0.00002802902,0.0112367,0.002146524,0.0007842315,0.0004161538,0.0001278258],"genre_scores_gemma":[0.003547817,0.00007983421,0.9916413,0.0003598799,0.0008745161,0.00055853,0.002514815,0.0002034734,0.0002198446],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1315563,"threshold_uncertainty_score":0.9993809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03621002475913377,"score_gpt":0.3239808062320199,"score_spread":0.2877707814728862,"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."}}