{"id":"W4253309300","doi":"10.1515/iupac.78.0575","title":"Spray Drift","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Pesticide Residue Analysis and Safety","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Chemical nomenclature; Relation (database); Pesticide; Computer science; Management science; Data science; Environmental chemistry; Chemistry; Engineering; Ecology; Data mining; Biology","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":[0.001423728,0.001820046,0.00132533,0.004118436,0.0009668915,0.002772315,0.003095713,0.001853377,0.1016612],"category_scores_gemma":[0.008661517,0.0005802418,0.001460825,0.00631745,0.0004400723,0.002361909,0.002153573,0.00187027,0.1275534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001718013,"about_ca_system_score_gemma":0.003260617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02202259,"about_ca_topic_score_gemma":0.04639431,"domain_scores_codex":[0.9984322,0.0002656249,0.0002880481,0.0005077918,0.0003570464,0.0001492011],"domain_scores_gemma":[0.9971437,0.0007619616,0.0003434902,0.0006850382,0.0008730752,0.0001926217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007238607,0.00001534011,0.0008557114,0.0009281504,0.00002873432,0.0000207251,0.00002705734,0.0001965692,0.0001080866,0.0007784315,0.9932587,0.003710092],"study_design_scores_gemma":[0.0001233139,0.00001226627,0.002059086,0.0004266262,0.00002101791,0.00004331059,0.00005615818,0.0002132863,0.0001907741,0.001314559,0.9955184,0.00002112167],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007679627,0.00008079587,0.00008010215,0.00005912799,0.00002073981,0.00001435276,0.9986594,0.0002574718,0.0007511547],"genre_scores_gemma":[0.0002464806,0.00008786449,0.0002988334,0.0000629252,0.000005794694,0.00008806028,0.9984213,0.00007090853,0.0007177031],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1016612,"threshold_uncertainty_score":0.3400906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01403619073716956,"score_gpt":0.3520392710764299,"score_spread":0.3380030803392604,"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."}}