{"id":"W4250262155","doi":"10.1515/iupac.78.0523","title":"Reduced Risk 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; Chemistry; Ecology; 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":[0.001025084,0.001392352,0.001330135,0.004369668,0.0005510311,0.001870924,0.002500118,0.00143462,0.09623178],"category_scores_gemma":[0.008539169,0.0004485374,0.001447938,0.008818925,0.0002783537,0.001626694,0.001394269,0.001625358,0.0636683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001940176,"about_ca_system_score_gemma":0.002746061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02855504,"about_ca_topic_score_gemma":0.05012185,"domain_scores_codex":[0.9988235,0.0001880601,0.0002396466,0.0003420096,0.0003050732,0.0001016926],"domain_scores_gemma":[0.9969321,0.0009711471,0.0005868493,0.0004777945,0.0008617108,0.0001703382],"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":[0.00007605656,0.00001487373,0.00113707,0.001818987,0.00004972218,0.00002005545,0.00001590304,0.0002774299,0.00006980334,0.0008695438,0.9900811,0.005569363],"study_design_scores_gemma":[0.0001457552,0.00001327841,0.003865351,0.0009038571,0.00004684107,0.00005744646,0.00003939662,0.0001664118,0.0001107018,0.001293121,0.9933389,0.00001902119],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005916497,0.0001465567,0.0000428901,0.0000566802,0.00001186243,0.000008701861,0.9989097,0.00005263075,0.0007118575],"genre_scores_gemma":[0.000397539,0.0002508773,0.0002780339,0.000101206,0.000008860929,0.00008640742,0.9980115,0.0000337605,0.0008319137],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09623178,"threshold_uncertainty_score":0.3219274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01051691979820519,"score_gpt":0.3431857292055583,"score_spread":0.3326688094073531,"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."}}