{"id":"W4255724210","doi":"10.1515/iupac.79.1312","title":"Fungicide","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 Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Toxicology; Computer science; Library science; Chemistry; Biology; Philosophy; Linguistics; Organic chemistry","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":[0.00098448,0.001577269,0.001851652,0.002748409,0.0005459704,0.001825681,0.002209921,0.00154039,0.07611153],"category_scores_gemma":[0.006342539,0.0004353315,0.001906765,0.004262084,0.0002607096,0.001067007,0.001083336,0.001409652,0.06846631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001216782,"about_ca_system_score_gemma":0.00250101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01589627,"about_ca_topic_score_gemma":0.03288525,"domain_scores_codex":[0.9987181,0.0002059506,0.00026624,0.000409953,0.0002929737,0.0001067189],"domain_scores_gemma":[0.9977069,0.0006536659,0.0004567523,0.0004440242,0.0005767731,0.0001620043],"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":[0.0006945574,0.00007711834,0.003612333,0.005531159,0.0002124134,0.00005410616,0.00002068153,0.0005164287,0.0003756468,0.0005690188,0.9697434,0.01859318],"study_design_scores_gemma":[0.0006397202,0.00007043663,0.008611878,0.000984173,0.000208446,0.0001317719,0.0000358491,0.0003013928,0.0004992855,0.0008645098,0.9876192,0.00003340885],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001915715,0.0003683184,0.00006245224,0.00004988652,0.00002214013,0.0000254005,0.9981079,0.0001381014,0.001034238],"genre_scores_gemma":[0.0007390507,0.0003577008,0.000357309,0.0001483731,0.00001222141,0.000133714,0.9969464,0.00003676406,0.001268396],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07611153,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01533436583355185,"score_gpt":0.3534429268302178,"score_spread":0.338108560996666,"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."}}