{"id":"W3199877682","doi":"10.1038/s41467-021-25502-w","title":"Identifying and characterizing pesticide use on 9,000 fields of organic agriculture","year":2021,"lang":"en","type":"article","venue":"Nature Communications","topic":"Pesticide and Herbicide Environmental Studies","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Division of Environmental Biology; University of Colorado Boulder; California Department of Pesticide Regulation; National Science Foundation","keywords":"Pesticide; Organic farming; Environmental science; Agriculture; Pesticide application; Crop; Pesticide residue; Agricultural engineering; Agronomy; Biology; Ecology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.005099434,0.0005856323,0.0008242355,0.002149135,0.0002929229,0.000945578,0.0006624493,0.0004559713,0.001161183],"category_scores_gemma":[0.008390723,0.0003460239,0.004913501,0.004422706,0.0004846206,0.0003916029,0.000842546,0.0007404061,0.0001197659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00079348,"about_ca_system_score_gemma":0.0009220866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0595245,"about_ca_topic_score_gemma":0.08420355,"domain_scores_codex":[0.9968829,0.00128266,0.0003076788,0.001013869,0.0003760919,0.0001367978],"domain_scores_gemma":[0.994805,0.002957721,0.001257474,0.0005541352,0.0003331373,0.00009246338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001631724,0.00005051646,0.8002222,0.009983206,0.1273374,0.0002175717,0.0003746756,0.005443069,0.001660842,0.0007464148,0.004318531,0.04801381],"study_design_scores_gemma":[0.0004201729,0.0003523301,0.7950259,0.002911306,0.1676898,0.0003885779,0.0006711223,0.002350799,0.00173005,0.002135685,0.02625576,0.00006850746],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7612907,0.1726723,0.008837309,0.001633957,0.0001921723,0.0001368778,0.0503893,0.0001755224,0.004671899],"genre_scores_gemma":[0.9785656,0.01142572,0.002402148,0.000387491,0.00003122104,0.00006934847,0.006744485,0.00003211227,0.0003418061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0595245,"threshold_uncertainty_score":0.118356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02621768527700482,"score_gpt":0.2661118478602018,"score_spread":0.2398941625831969,"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."}}