{"id":"W4235061505","doi":"10.1515/iupac.78.0527","title":"Registrant","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Pesticide Residue Analysis and Safety","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Relation (database); Computer science; Pesticide; Chemical nomenclature; Management science; Data science; Engineering; Ecology; Chemistry; Biology; Data mining; Linguistics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000416472,0.0003093086,0.0005351386,0.00002080318,0.0001538882,0.00006230678,0.0005193549,0.0003066606,0.01076375],"category_scores_gemma":[0.0002576713,0.00008512889,0.0003035959,0.0002161728,0.00009397686,0.00004968853,0.0001049096,0.0002535463,0.0000058073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001072852,"about_ca_system_score_gemma":0.00008060473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000714463,"about_ca_topic_score_gemma":0.01022313,"domain_scores_codex":[0.9978493,0.00008505939,0.0003972974,0.0004654261,0.0008144692,0.0003884308],"domain_scores_gemma":[0.9989724,0.0001741757,0.0002278861,0.0002031489,0.0002489784,0.0001734716],"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":[0.00003933285,0.00008109231,0.00001569696,0.00001193287,0.0000515782,0.00005356323,5.493786e-7,1.932011e-7,0.0002919443,0.000005411553,0.9725018,0.02694691],"study_design_scores_gemma":[0.0001179152,0.0001588638,0.001145037,0.0001395768,0.0001002688,0.000009843401,0.000007956209,9.629365e-7,0.00001554403,0.0001731817,0.9978328,0.000298059],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009647708,0.0006307182,0.000003772376,0.002330154,0.0001476445,0.0001039392,0.9956996,0.00004075851,0.0000786604],"genre_scores_gemma":[0.0002399024,0.002304577,0.00000425994,0.0002822714,0.001272545,0.000004785724,0.9954274,0.000001141407,0.0004631118],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02664885,"threshold_uncertainty_score":0.9901406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01741916485459985,"score_gpt":0.3570521618862131,"score_spread":0.3396329970316132,"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."}}