{"id":"W1985814087","doi":"10.1007/s11270-014-2013-y","title":"Current-Use Herbicides in Air as Influenced by Their Estimated Agricultural Use at Various Distances from Six Sampling Locations","year":2014,"lang":"en","type":"article","venue":"Water Air & Soil Pollution","topic":"Pesticide and Herbicide Environmental Studies","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Environment and Protected Areas; Environment and Climate Change Canada; University of Manitoba","funders":"National Research Council Canada","keywords":"Metolachlor; MCPA; Environmental science; Air mass (solar energy); Bromoxynil; Geography; Sampling (signal processing); Range (aeronautics); Agriculture; Air pollution; Air pollutants; Physical geography; Pesticide; Hydrology (agriculture); Agronomy; Ecology; Weed control; Biology; Mathematics; Statistics; Atrazine; Archaeology; Representativeness heuristic","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002275954,0.0001841049,0.0001502103,0.0004022296,0.0002268289,0.0004757842,0.000172654,0.0002016767,0.0008395683],"category_scores_gemma":[0.0008577282,0.0001544797,0.0001947168,0.000591248,0.0001914076,0.0003044269,0.0002192258,0.0001826515,0.0001935751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002253714,"about_ca_system_score_gemma":0.0001460088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01534604,"about_ca_topic_score_gemma":0.035052,"domain_scores_codex":[0.9997458,0.00008503783,0.00001951002,0.00006286079,0.00005196737,0.00003484731],"domain_scores_gemma":[0.9991309,0.0003576481,0.0002771076,0.00002900286,0.0001479567,0.00005738756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000430746,0.00006077082,0.9880707,0.0000187121,0.00009885984,0.00004598571,0.0002513913,0.0004404385,0.006807801,0.000020985,0.000044794,0.003708851],"study_design_scores_gemma":[0.000002315094,0.0001064708,0.997313,0.000001937125,0.00003242965,0.00005020809,0.0002919121,0.0004984638,0.001535502,0.000008067474,0.0001564541,0.000003269249],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993068,0.00005039384,0.0001361101,0.000004047377,0.000001594369,0.000002932429,0.0002458644,0.000001929369,0.0002503983],"genre_scores_gemma":[0.9990426,0.00005844092,0.0001753371,0.000003938126,0.000002301478,0.000006090764,0.0003186097,0.00000147486,0.0003913644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01534604,"threshold_uncertainty_score":0.03051347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01645629852404515,"score_gpt":0.2334989395537067,"score_spread":0.2170426410296616,"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."}}