{"id":"W3025710381","doi":"10.3390/hydrology7020027","title":"Analytical and Numerical Groundwater Flow Solutions for the FEMME-Modeling Environment","year":2020,"lang":"en","type":"article","venue":"Hydrology","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Golder Associates (Canada)","funders":"","keywords":"MODFLOW; Aquifer; Groundwater; Groundwater model; Groundwater flow; Surface water; Environmental science; Computer simulation; Hydrology (agriculture); Geology; Geotechnical engineering; Environmental engineering; Computer science; Simulation","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":[0.0009301304,0.0007618244,0.0006123264,0.0006765982,0.0004317829,0.0007344084,0.001657323,0.0009855945,0.02556987],"category_scores_gemma":[0.002171936,0.0006754974,0.0009777178,0.0005695747,0.0004221651,0.0009864038,0.001205246,0.0012915,0.005528395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004631112,"about_ca_system_score_gemma":0.001234023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002049608,"about_ca_topic_score_gemma":0.003008149,"domain_scores_codex":[0.9996492,0.00007949325,0.00002205554,0.00004174054,0.0001628059,0.00004479972],"domain_scores_gemma":[0.9994214,0.0002227694,0.00004153033,0.00009862328,0.0001883062,0.00002728094],"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":[0.0001662343,0.0003017471,0.002397179,0.0007247741,0.00009919737,0.0003599426,0.0005633552,0.5600117,0.04406074,0.157203,0.04755714,0.186555],"study_design_scores_gemma":[0.00005814999,0.00004337914,0.0004901076,0.00004220367,0.00001021644,0.0001800224,0.00003058888,0.904948,0.008326052,0.01181784,0.07401741,0.00003605743],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008547138,0.00008562304,0.9692209,0.0001132224,0.00007920733,0.0001010772,0.001831564,0.005922084,0.0140992],"genre_scores_gemma":[0.07404915,0.0003046482,0.8961646,0.0001097325,0.0000383793,0.0009794065,0.003792651,0.003263591,0.02129786],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02556987,"threshold_uncertainty_score":0.08553982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04062173518325114,"score_gpt":0.2376754870429079,"score_spread":0.1970537518596567,"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."}}