{"id":"W7095880073","doi":"","title":"1Mapping Groundwater Pollution Risk within an Agricultural Watershed Using Modeling,","year":2014,"lang":"en","type":"article","venue":"","topic":"Pesticide and Herbicide Environmental Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pedotransfer function; Watershed; Hydrology (agriculture); Groundwater; Soil map; Groundwater pollution; Soil water; Pollution; Polygon (computer graphics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001701194,0.0004158677,0.0002155495,0.0005701779,0.000290077,0.0006351979,0.0002766517,0.0002466727,0.001410712],"category_scores_gemma":[0.0005819554,0.0001822997,0.0004298032,0.0007312085,0.0001552289,0.000258994,0.0003162918,0.00009823054,0.0001300096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002074602,"about_ca_system_score_gemma":0.001298963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2468357,"about_ca_topic_score_gemma":0.2662445,"domain_scores_codex":[0.9999249,0.00002532013,0.000004305241,0.00001985854,0.00001283162,0.00001279374],"domain_scores_gemma":[0.9998864,0.00006379334,0.00001555041,0.000008448452,0.00001997755,0.000005886394],"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":[0.00007638224,0.0000460783,0.03685931,0.00005041284,0.00004353674,0.00007015,0.0001356659,0.941748,0.002244895,0.001185266,0.0004898432,0.01705047],"study_design_scores_gemma":[0.000008273354,0.00002698439,0.008051174,0.000005193206,0.0000139001,0.00002103604,0.00007947812,0.9895554,0.0007479973,0.0005901054,0.0008937912,0.000006890426],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9382089,0.000121906,0.05172574,0.0001528928,0.000004763022,0.00008141882,0.00233458,0.0006060255,0.006763799],"genre_scores_gemma":[0.9765411,0.00008946521,0.02003525,0.000007079633,0.000002088122,0.00005050251,0.0009956068,0.00002353697,0.002255361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2468357,"threshold_uncertainty_score":0.4907979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02181657730962477,"score_gpt":0.2183141436519379,"score_spread":0.1964975663423131,"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."}}