{"id":"W4255559762","doi":"10.1515/iupac.78.0412","title":"Metabolite","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; Chemical nomenclature; Computer science; Relation (database); Pesticide; Data science; Environmental chemistry; Management science; Chemistry; Engineering; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001076092,0.001748288,0.001275455,0.004425358,0.0008580638,0.002722109,0.002499136,0.001780397,0.1460114],"category_scores_gemma":[0.008077652,0.000561043,0.001364465,0.007413031,0.0003765585,0.002468555,0.001974857,0.001647612,0.1568712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001859327,"about_ca_system_score_gemma":0.002960161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01624481,"about_ca_topic_score_gemma":0.03686102,"domain_scores_codex":[0.9984762,0.0002491477,0.0002753804,0.0005217922,0.0003239066,0.00015356],"domain_scores_gemma":[0.9972428,0.0008248436,0.0003852542,0.0005466234,0.0008021297,0.0001983861],"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":[0.00006350145,0.00001539587,0.0009220192,0.001281816,0.00002730838,0.00002653876,0.00002800823,0.0001730835,0.0001268642,0.0009026677,0.9916117,0.004821034],"study_design_scores_gemma":[0.00006856114,0.000009740911,0.001792275,0.0004508492,0.00001964607,0.00005057146,0.00005059148,0.0001164534,0.0001402743,0.001138758,0.9961462,0.00001602802],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006186916,0.0001174533,0.00006860928,0.00007221114,0.00001849068,0.00001307104,0.9985146,0.000134986,0.0009987945],"genre_scores_gemma":[0.0002297202,0.0001127975,0.0002629062,0.00009646226,0.000005901889,0.0000776193,0.9984242,0.0000427099,0.000747718],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8539886,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01088911269735556,"score_gpt":0.3535907975101421,"score_spread":0.3427016848127865,"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."}}