{"id":"W4229979827","doi":"10.1515/iupac.78.0623","title":"Trigger Value","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); Chemical nomenclature; Computer science; Management science; Data science; Engineering; Chemistry; 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":[0.001361141,0.001840061,0.001382722,0.005980962,0.001089651,0.003540765,0.002621283,0.002519879,0.1242474],"category_scores_gemma":[0.01292361,0.000711271,0.001512984,0.00918039,0.0004978105,0.003236108,0.002170363,0.002083914,0.1003202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002649795,"about_ca_system_score_gemma":0.003719828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02284985,"about_ca_topic_score_gemma":0.04912478,"domain_scores_codex":[0.9979855,0.0002929272,0.0003853751,0.0006568705,0.0004560788,0.0002232719],"domain_scores_gemma":[0.9950198,0.001962168,0.0005913182,0.0009849906,0.001136381,0.0003053699],"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":[0.00008220517,0.00001695704,0.001227256,0.001187726,0.00002798165,0.00003502096,0.00002830166,0.0002822978,0.00009570477,0.001183606,0.9917369,0.004095976],"study_design_scores_gemma":[0.000120353,0.0000130976,0.00263243,0.0006080039,0.0000254641,0.0000706389,0.00007900716,0.000269087,0.0002157359,0.002495279,0.9934417,0.00002917787],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007743845,0.00009405372,0.00006553296,0.00008332618,0.00002003304,0.00001669906,0.9983879,0.0002076719,0.001047176],"genre_scores_gemma":[0.0004141853,0.000112456,0.0003382819,0.0001128412,0.000008692302,0.0001174407,0.9981,0.00006965766,0.0007265404],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1242474,"threshold_uncertainty_score":0.4156489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0107791438501316,"score_gpt":0.3526697036001124,"score_spread":0.3418905597499808,"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."}}