{"id":"W4232448925","doi":"10.1515/iupac.78.0150","title":"Apoplast","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; Pesticide; Relation (database); Computer science; Management science; Ecology; Engineering; 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":[0.0008149958,0.002187639,0.00147158,0.005285845,0.001031006,0.003053285,0.00277818,0.001780408,0.09730095],"category_scores_gemma":[0.004568206,0.0006710002,0.001380627,0.009989359,0.0004067816,0.002230114,0.002211739,0.001838195,0.1269602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001929978,"about_ca_system_score_gemma":0.002946342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02252679,"about_ca_topic_score_gemma":0.04456121,"domain_scores_codex":[0.9989868,0.0001286752,0.0001838345,0.0003337586,0.0002369508,0.0001299336],"domain_scores_gemma":[0.9979728,0.0005425311,0.0003553242,0.0003990079,0.0005432819,0.0001869843],"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":[0.00008389817,0.00001550145,0.001168878,0.002152533,0.00003224408,0.00004435123,0.00004761751,0.0001941952,0.0002847772,0.00110156,0.9909589,0.003915487],"study_design_scores_gemma":[0.00006323754,0.000008190536,0.002326428,0.0004885367,0.0000217189,0.00005472915,0.00005399572,0.00008425607,0.0001700914,0.0008690139,0.9958441,0.0000158078],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005944988,0.000121529,0.00003641599,0.00004344214,0.00001050601,0.000005739902,0.9989585,0.00009835637,0.0006660789],"genre_scores_gemma":[0.0002075405,0.0001449246,0.0001677158,0.00005950366,0.000003669126,0.00003783275,0.9988101,0.00003373628,0.0005349829],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09730095,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01025966386758818,"score_gpt":0.3452685809118559,"score_spread":0.3350089170442677,"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."}}