{"id":"W1954516670","doi":"10.1002/clen.201200232","title":"Pesticide Health Risk Mapping and Sensitivity Analysis of Parameters in Groundwater Vulnerability Assessment","year":2013,"lang":"en","type":"article","venue":"CLEAN - Soil Air Water","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; University of Calgary; Cooperative State Research, Education, and Extension Service; Natural Resources Conservation Service; Pennsylvania State University; University of Arkansas; U.S. Department of Agriculture","keywords":"Environmental science; Groundwater; Pesticide; Leaching (pedology); Surface runoff; Surface water; Irrigation; Water quality; Bentazon; Hydrology (agriculture); Environmental engineering; Soil water; Soil science; Agronomy","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001009707,0.0001536597,0.0003908936,0.0001280559,0.0001373014,0.00003298839,0.00005633122,0.00003930079,0.0002891446],"category_scores_gemma":[0.00001866304,0.0001058687,0.00008263236,0.0002365708,0.0002466892,0.0002672357,0.0002238698,0.0001369156,0.00006603297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002272902,"about_ca_system_score_gemma":0.000005163232,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02984211,"about_ca_topic_score_gemma":0.009191322,"domain_scores_codex":[0.998286,0.0003779711,0.000386249,0.0003843218,0.0002203411,0.0003451051],"domain_scores_gemma":[0.9994477,0.00009802942,0.00009207862,0.0002433096,0.00001654339,0.0001023463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003900788,0.0001058488,0.9634855,0.00001531225,0.0001109754,0.000002897459,0.002520837,0.003922584,0.0006006045,0.000002878501,0.0000997173,0.02912896],"study_design_scores_gemma":[0.0002101331,0.0000603372,0.9876822,0.000006871018,0.00006348512,0.000001276571,0.0008340629,0.009840016,0.0008542705,0.0001755189,0.0001365972,0.000135234],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918724,0.000005187695,0.006579001,0.001047716,0.00003860965,0.000211828,0.000004521678,0.00001916673,0.0002215857],"genre_scores_gemma":[0.9984952,0.000009947164,0.0006561646,0.0004413197,0.000005719071,0.00002990669,0.00001421896,0.000007632045,0.0003399025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02899373,"threshold_uncertainty_score":0.9766182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01476432403258303,"score_gpt":0.2481185660360305,"score_spread":0.2333542420034475,"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."}}