{"id":"W4254920913","doi":"10.1515/iupac.78.0204","title":"Chelating Agent","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 Guelph","funders":"","keywords":"Glossary; Chemical nomenclature; Relation (database); Pesticide; Computer science; Management science; Data science; Environmental chemistry; 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":[],"consensus_categories":[],"category_scores_codex":[0.001375467,0.001336911,0.001927574,0.00415839,0.001072228,0.002495039,0.002512787,0.001563816,0.1264849],"category_scores_gemma":[0.008638491,0.0005681858,0.001590273,0.007113506,0.0003965614,0.002268383,0.001591855,0.001715495,0.09768495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001717529,"about_ca_system_score_gemma":0.003118463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01421183,"about_ca_topic_score_gemma":0.03087083,"domain_scores_codex":[0.9982212,0.0002764745,0.0004349228,0.0005405598,0.0004072833,0.0001194783],"domain_scores_gemma":[0.9965836,0.001234586,0.0005903899,0.0005753655,0.0008525591,0.0001634923],"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":[0.0002707895,0.00004354466,0.001535696,0.005035335,0.00006115348,0.0000565203,0.0000419542,0.0003001621,0.0006309275,0.00102432,0.9730304,0.01796919],"study_design_scores_gemma":[0.0001055428,0.00002161217,0.001886687,0.0005937757,0.00005264015,0.00007872632,0.00003745776,0.00009045276,0.0003958419,0.00095708,0.9957599,0.00002030628],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002505369,0.000931389,0.0002766859,0.000137423,0.00004851843,0.00007223897,0.9950345,0.0002971131,0.002951628],"genre_scores_gemma":[0.0009561373,0.0009870647,0.001386756,0.0003266294,0.00001788637,0.000356112,0.9934162,0.000104443,0.002448771],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1264849,"threshold_uncertainty_score":0.4231342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02028455739987306,"score_gpt":0.3612271997447902,"score_spread":0.3409426423449171,"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."}}