{"id":"W4245388512","doi":"10.1515/iupac.78.0599","title":"Systemic Pesticide","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Pesticide and Herbicide Environmental Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Pesticide; Relation (database); Chemical nomenclature; Computer science; Ecology; Chemistry; Biology; Data mining","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":[0.0009609886,0.00159656,0.001371178,0.004152687,0.0006638805,0.002043225,0.00230129,0.001499993,0.1132412],"category_scores_gemma":[0.006531314,0.0004814886,0.001335759,0.008609672,0.0003196884,0.001891212,0.001582915,0.001551038,0.09329902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001885412,"about_ca_system_score_gemma":0.003217285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02358583,"about_ca_topic_score_gemma":0.04472431,"domain_scores_codex":[0.9988392,0.0001641673,0.0002278429,0.0003742429,0.0002819977,0.000112524],"domain_scores_gemma":[0.9972776,0.0007491081,0.0005228727,0.0004614445,0.0008033232,0.0001857078],"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":[0.00007914789,0.000014501,0.0011274,0.001692077,0.0000366509,0.00002484215,0.00001974076,0.0001755556,0.0001061688,0.0007170397,0.9910619,0.004944874],"study_design_scores_gemma":[0.0000869155,0.00001063268,0.002933411,0.0006697812,0.00003247789,0.00005067261,0.00004024829,0.00009524322,0.000131321,0.0007928247,0.9951409,0.00001562853],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006002821,0.0001266613,0.00004062421,0.00004863964,0.00001262946,0.000008790077,0.9987978,0.00006579274,0.0008390522],"genre_scores_gemma":[0.0003164784,0.0001973326,0.0002190982,0.00009861148,0.000006958199,0.00007711185,0.998054,0.00003386555,0.0009964441],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1132412,"threshold_uncertainty_score":0.3788297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01076803929099065,"score_gpt":0.3391745323063695,"score_spread":0.3284064930153788,"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."}}