{"id":"W2965301948","doi":"10.1155/2019/3463607","title":"Transmissivity Identification by Combination of CVFEM and Genetic Algorithm: Application to the Coastal Aquifer","year":2019,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Mathematical optimization; Discretization; Inverse problem; Optimization problem; Darcy–Weisbach equation; Computer science; Finite element method; Algorithm; Penalty method; Mathematics; Applied mathematics; Porous medium; Engineering","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":[0.0005071505,0.000504285,0.000454379,0.0005527346,0.0002975131,0.0004799485,0.0005445578,0.0009429653,0.0006061054],"category_scores_gemma":[0.0006409559,0.0001830095,0.0004243356,0.0005778846,0.00032725,0.0002749531,0.0005241188,0.0003380666,0.00009362699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003252804,"about_ca_system_score_gemma":0.0005103569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00426633,"about_ca_topic_score_gemma":0.003435189,"domain_scores_codex":[0.9998746,0.00004767794,0.000005481731,0.00002162764,0.00003479756,0.00001585009],"domain_scores_gemma":[0.9998019,0.00009418881,0.00002061469,0.00001446893,0.00005763113,0.00001117904],"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":[0.0000469099,0.0000979765,0.002323986,0.00004848875,0.00004194659,0.0001586224,0.00008294913,0.8683823,0.009431015,0.003614674,0.0003973573,0.1153737],"study_design_scores_gemma":[0.000002804727,0.00001648742,0.0001253568,0.000001954627,0.000003118698,0.0000157822,0.000008122745,0.9984412,0.0009599976,0.0002037935,0.0002179324,0.000003480427],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.146235,0.0002589009,0.8478059,0.0002259897,0.00004481158,0.00005232857,0.00003083043,0.0005734755,0.004772732],"genre_scores_gemma":[0.6783882,0.0001804672,0.3193649,0.00004854254,0.00001533852,0.00006726224,0.00004506541,0.00005139372,0.00183887],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00426633,"threshold_uncertainty_score":0.008482993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003810492692100294,"score_gpt":0.1846352692934151,"score_spread":0.1808247766013148,"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."}}