{"id":"W2092298284","doi":"10.1016/j.atmosenv.2012.03.065","title":"Corrigendum to “Predicting wetland contamination from atmospheric deposition measurements of pesticides in the Canadian Prairie Pothole region” [Atmos. Environ. 45 (2011) 7227–7234]","year":2012,"lang":"en","type":"erratum","venue":"Atmospheric Environment","topic":"Water Quality and Resources Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Innovates; Alberta Environment and Protected Areas; Environment and Climate Change Canada; University of Manitoba","funders":"","keywords":"Environmental science; Wetland; Pothole (geology); Deposition (geology); Geography; Forestry; Archaeology; Environmental protection; Ecology; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000960446,0.0007108494,0.0007258043,0.000008977299,0.0006341281,0.00007527267,0.0008678886,0.000597175,0.001408441],"category_scores_gemma":[0.00008048536,0.0005739916,0.0001832954,0.0002458693,0.0005414063,0.0002045108,0.0003924451,0.000806537,0.0007942046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002278402,"about_ca_system_score_gemma":0.00007207859,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3181072,"about_ca_topic_score_gemma":0.2431433,"domain_scores_codex":[0.9948846,0.0006465171,0.0009509437,0.0009283443,0.0015622,0.001027441],"domain_scores_gemma":[0.9979351,0.00009480415,0.0006436098,0.0009123607,0.00001304224,0.0004011529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005096447,0.0003679591,0.8001227,0.00007450085,0.0001844856,0.0000640268,0.009689148,0.006000878,0.00020614,0.000005296446,0.1780862,0.005147734],"study_design_scores_gemma":[0.0004532549,0.000232027,0.7799811,0.0001986446,0.0002657084,0.00001353192,0.0009291495,0.0005333179,0.00008136299,0.0000595823,0.2165846,0.0006677064],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8000225,0.02627417,0.01298159,0.01327452,0.03025377,0.01233711,0.0005764652,0.0002921191,0.1039877],"genre_scores_gemma":[0.9571421,0.0004767619,0.006595489,0.001555242,0.0008628108,0.0004618312,0.0005886697,0.0001548263,0.03216228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1571196,"threshold_uncertainty_score":0.9999838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04196027544098763,"score_gpt":0.2148554509056339,"score_spread":0.1728951754646463,"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."}}