{"id":"W1597050087","doi":"10.1002/wrcr.20332","title":"Transient, spatially varied groundwater recharge modeling","year":2013,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Canadian Water Network","keywords":"Groundwater recharge; Watershed; Hydrology (agriculture); Environmental science; Groundwater; Spatial variability; Groundwater model; Soil science; Geology; Geotechnical engineering; Aquifer; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0001818379,0.0002196443,0.0002808957,0.0003718272,0.0003320783,0.0006255896,0.001105981,0.0003358677,0.00076021],"category_scores_gemma":[0.0005039678,0.0001955699,0.0003411568,0.0007969653,0.0003393856,0.0004885929,0.0003556445,0.000237174,0.0000716381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002378954,"about_ca_system_score_gemma":0.001815506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2566948,"about_ca_topic_score_gemma":0.3191496,"domain_scores_codex":[0.9998639,0.00001840795,0.000009292335,0.00005312232,0.00002490866,0.00003032664],"domain_scores_gemma":[0.9998317,0.00005121642,0.00002099718,0.00002581382,0.00005950281,0.00001076951],"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":[0.00007625783,0.0000469363,0.0261079,0.00004189878,0.00003082012,0.0001318075,0.0001202864,0.9567086,0.005496851,0.0008935985,0.0003278817,0.01001719],"study_design_scores_gemma":[0.00001854399,0.00002682394,0.01109535,0.000004178096,0.00001773768,0.00002983385,0.000108603,0.9845545,0.003003464,0.0003653454,0.0007599221,0.00001561679],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.963168,0.00008687914,0.03073297,0.00009130419,0.000009829399,0.00004512503,0.001563973,0.0007245323,0.003577263],"genre_scores_gemma":[0.9938499,0.00003583141,0.005082496,0.000005613251,0.000001295704,0.00001934963,0.0003995516,0.00001353762,0.0005925169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2566948,"threshold_uncertainty_score":0.5104014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.054530583066958,"score_gpt":0.2862025154475761,"score_spread":0.2316719323806181,"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."}}