{"id":"W4241999405","doi":"10.1515/iupac.78.0278","title":"Environmental Fate","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; Relation (database); Computer science; Pesticide; Management science; Data science; Environmental chemistry; Ecology; Chemistry; 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":[0.0009630367,0.001781821,0.001287962,0.004452153,0.0007377734,0.002402014,0.002164185,0.001419249,0.09973355],"category_scores_gemma":[0.005079873,0.0005324068,0.001618273,0.007745332,0.0003278105,0.002244402,0.001839773,0.001593761,0.08741551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002318576,"about_ca_system_score_gemma":0.002809254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03264749,"about_ca_topic_score_gemma":0.05711423,"domain_scores_codex":[0.9989735,0.0001419773,0.000186016,0.0003123398,0.0002860419,0.0001002105],"domain_scores_gemma":[0.9976805,0.0006329446,0.0003533686,0.0004729081,0.0007397566,0.0001204331],"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":[0.00006144823,0.00001580323,0.002018827,0.002400735,0.00005187178,0.00003912743,0.00003604052,0.0005492811,0.000193331,0.001638356,0.9849724,0.008022696],"study_design_scores_gemma":[0.0000428704,0.000006058963,0.002458967,0.0005447944,0.00002191634,0.00003950239,0.0000414303,0.0001339608,0.0001485024,0.001188716,0.9953583,0.00001489761],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006744031,0.0001159474,0.00006180732,0.00004065754,0.00001365666,0.000006430454,0.9984225,0.00009063012,0.001181052],"genre_scores_gemma":[0.000406932,0.0002207596,0.000309871,0.00007086307,0.000005172741,0.00004812363,0.9978831,0.00004326269,0.001011842],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09973355,"threshold_uncertainty_score":0.3336419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00971595668517978,"score_gpt":0.3287342596015855,"score_spread":0.3190183029164057,"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."}}