{"id":"W2988752258","doi":"10.1016/j.scitotenv.2019.134765","title":"Spatial distribution of agricultural pesticide use and predicted wetland exposure in the Canadian Prairie Pothole Region","year":2019,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Pesticide and Herbicide Environmental Studies","field":"Environmental Science","cited_by":49,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Pesticide; Environmental science; Pesticide application; Wetland; Agrochemical; Pesticide residue; Agriculture; Fungicide; Agronomy; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003102042,0.0001296267,0.0001502032,0.0008708681,0.0007693776,0.0005938013,0.0007001428,0.0002726424,0.001129638],"category_scores_gemma":[0.001038619,0.0002069031,0.0003119504,0.001400266,0.0005787461,0.0002728056,0.0005158664,0.0002733774,0.0001010362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004245871,"about_ca_system_score_gemma":0.005043193,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9712484,"about_ca_topic_score_gemma":0.9898708,"domain_scores_codex":[0.9997241,0.00002939847,0.00001472156,0.00006783146,0.00008058719,0.00008334752],"domain_scores_gemma":[0.9991979,0.000160065,0.0001830212,0.00003946636,0.0002872527,0.0001322521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009243072,0.00003855439,0.9919587,0.00001504469,0.00006312347,0.0000951719,0.0005823543,0.0007877908,0.001329788,0.0001312353,0.0003452773,0.004560519],"study_design_scores_gemma":[0.000002419275,0.000007692614,0.9984093,0.000003626692,0.00000876092,0.00003099937,0.00053536,0.00070853,0.00005629355,0.00001458434,0.0002179593,0.000004488547],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998687,0.00004883963,0.00006750162,0.00004580622,8.6033e-7,0.000007357547,0.000549305,0.000004456373,0.0005889955],"genre_scores_gemma":[0.9992279,0.00006573293,0.0001135535,0.000008465753,7.620588e-7,0.000004556864,0.0002146768,0.000001336226,0.0003630687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02875161,"threshold_uncertainty_score":0.05784184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0090989994471012,"score_gpt":0.1821812804927005,"score_spread":0.1730822810455993,"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."}}