{"id":"W4245584448","doi":"10.1515/iupac.78.0460","title":"Persistence","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; Relation (database); Pesticide; Computer science; Data science; Ecology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001771713,0.001706163,0.001494936,0.006417972,0.001180182,0.004047297,0.003181231,0.002205432,0.1349397],"category_scores_gemma":[0.01693001,0.0006618867,0.001565873,0.01130669,0.0005433469,0.003556292,0.002413107,0.002382594,0.1248739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002411149,"about_ca_system_score_gemma":0.004421475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03037144,"about_ca_topic_score_gemma":0.05341212,"domain_scores_codex":[0.9975148,0.0003737854,0.0005635303,0.000756318,0.0005384266,0.0002531306],"domain_scores_gemma":[0.9936934,0.002259145,0.000674666,0.001236246,0.001794314,0.000342432],"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":[0.00005449502,0.00001457551,0.001108077,0.001205915,0.00003010804,0.00002598742,0.00004027806,0.0002088886,0.00007705115,0.00115498,0.9922556,0.003823941],"study_design_scores_gemma":[0.0000813864,0.000008122143,0.002010876,0.0005966603,0.00002177584,0.0000472386,0.00007949933,0.000153806,0.0001079957,0.001581535,0.9952888,0.00002220171],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006152483,0.00008063905,0.00006061108,0.00008987849,0.00001712204,0.00001183892,0.9987135,0.000156925,0.0008079605],"genre_scores_gemma":[0.0002726538,0.00009675107,0.0002615684,0.00009252104,0.000007097755,0.000111402,0.9984106,0.00006646903,0.0006808785],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1349397,"threshold_uncertainty_score":0.4514181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02374154291061149,"score_gpt":0.3470520699631132,"score_spread":0.3233105270525017,"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."}}