{"id":"W4409569496","doi":"10.1680/jenes.24.00143","title":"Mathematical model of artificial groundwater recharge","year":2025,"lang":"en","type":"article","venue":"Journal of Environmental Engineering and Science","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Groundwater recharge; Groundwater; Depression-focused recharge; Environmental science; Hydrology (agriculture); Groundwater model; Water resource management; Aquifer; Geology; Geotechnical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006128895,0.0006927975,0.001054383,0.001108776,0.0007043381,0.001648416,0.002360442,0.001865689,0.005518528],"category_scores_gemma":[0.001617253,0.0005189446,0.001285968,0.001402109,0.001032721,0.002181822,0.00107841,0.00117272,0.0007637365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001728326,"about_ca_system_score_gemma":0.001473078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01490685,"about_ca_topic_score_gemma":0.006034009,"domain_scores_codex":[0.999559,0.0001069465,0.00003110126,0.0001096507,0.0001177707,0.00007560515],"domain_scores_gemma":[0.9994695,0.0002326275,0.00009732145,0.000020785,0.0001495177,0.0000302908],"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":[0.0000201877,0.00001836163,0.0007094595,0.00009702277,0.00002539578,0.0002187856,0.00008234255,0.9035708,0.0009291834,0.08965489,0.001358615,0.003314908],"study_design_scores_gemma":[0.00001131072,0.00001297498,0.0001558792,0.00000799968,0.000009902357,0.00007607291,0.00002110622,0.9848325,0.0001408903,0.01291906,0.00180114,0.00001114038],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05374854,0.001803424,0.8804184,0.002771624,0.0002848765,0.0001133419,0.00184901,0.0005740991,0.05843674],"genre_scores_gemma":[0.9121507,0.002150918,0.03295701,0.0003973675,0.0001796576,0.0004445342,0.0007882356,0.0001295729,0.050802],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01490685,"threshold_uncertainty_score":0.0296402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009718785245875721,"score_gpt":0.2049063902291986,"score_spread":0.1951876049833229,"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."}}