{"id":"W4249472726","doi":"10.1515/iupac.78.0138","title":"Agrochemical","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; Agrochemical; Pesticide; Chemical nomenclature; Relation (database); Computer science; Management science; Chemistry; Engineering; Ecology; Biology; Data mining; Agriculture","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":[0.001075775,0.001878088,0.001469309,0.006032981,0.0009558175,0.002751091,0.00266915,0.00166547,0.1250705],"category_scores_gemma":[0.007090317,0.0006144687,0.001322629,0.01146471,0.0004306029,0.002415204,0.002023066,0.002004841,0.125144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002336363,"about_ca_system_score_gemma":0.003756257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02680737,"about_ca_topic_score_gemma":0.0497691,"domain_scores_codex":[0.9986535,0.0001978005,0.0002495851,0.0003995855,0.0003659341,0.0001335365],"domain_scores_gemma":[0.9968746,0.0009004545,0.0005124408,0.000579402,0.0009216016,0.0002115306],"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":[0.00005747615,0.00001507503,0.0008231525,0.001852492,0.00002828348,0.00002627065,0.00002842098,0.0001934099,0.0001491409,0.001122844,0.9910167,0.004686604],"study_design_scores_gemma":[0.00005216126,0.000006263324,0.00158249,0.0004468864,0.00001669729,0.000034755,0.0000349881,0.0000691982,0.0001077685,0.0008498291,0.9967868,0.00001217647],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004898912,0.0001165759,0.00005005578,0.00004735405,0.0000122912,0.000008346396,0.9986467,0.00009511301,0.0009746192],"genre_scores_gemma":[0.0002033112,0.0001658158,0.0002398572,0.00007633527,0.000004669101,0.00005808416,0.9983723,0.00004044759,0.0008392476],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1250705,"threshold_uncertainty_score":0.4184026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009854834852945733,"score_gpt":0.3490739565589391,"score_spread":0.3392191217059934,"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."}}