{"id":"W4250113118","doi":"10.1515/iupac.78.0152","title":"Assay","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); Computer science; Management science; Data science; Chemistry; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001721086,0.001959299,0.001388203,0.00471037,0.001089429,0.003208292,0.003103678,0.002111864,0.1592223],"category_scores_gemma":[0.01204379,0.000630533,0.001709733,0.006868994,0.0004495489,0.002973059,0.002223989,0.002005189,0.1557826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002414525,"about_ca_system_score_gemma":0.003756747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02229412,"about_ca_topic_score_gemma":0.03960709,"domain_scores_codex":[0.9974929,0.0003756723,0.0004741833,0.000843099,0.0005872265,0.0002269072],"domain_scores_gemma":[0.9948084,0.001529383,0.0006727169,0.001105712,0.001614195,0.0002695353],"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":[0.00008362038,0.00001944947,0.001163425,0.001250372,0.00003052562,0.0000251271,0.0000275842,0.0002023993,0.0001294335,0.001110203,0.9897776,0.006180325],"study_design_scores_gemma":[0.00008727633,0.00001197809,0.002245689,0.0005500079,0.00002357926,0.00005110625,0.00005717557,0.0001552909,0.0001896294,0.00147924,0.9951278,0.00002123381],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007899123,0.0001136312,0.0001151429,0.00009245938,0.00002550655,0.00002331227,0.9979842,0.0002178488,0.001348965],"genre_scores_gemma":[0.0002885053,0.0001198836,0.0004074587,0.000130411,0.000008320262,0.0001257776,0.9977183,0.0000615237,0.001139771],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1592223,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01580636239119169,"score_gpt":0.3552674254147053,"score_spread":0.3394610630235136,"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."}}