{"id":"W4246245493","doi":"10.1515/iupac.78.0332","title":"GLP Study Director","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; Pesticide; Data science; Management science; Engineering; Chemistry; Ecology; Data mining; Biology","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":[0.002624421,0.0009784475,0.001177748,0.003977422,0.0008690701,0.002791451,0.00214937,0.001334382,0.2785536],"category_scores_gemma":[0.01765342,0.0005203119,0.0011001,0.007224024,0.0003294839,0.002395369,0.00185736,0.001807279,0.1733113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002170605,"about_ca_system_score_gemma":0.005811774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01956069,"about_ca_topic_score_gemma":0.03526272,"domain_scores_codex":[0.9979663,0.0004431847,0.0003757463,0.0006562287,0.0003628926,0.0001957843],"domain_scores_gemma":[0.9909937,0.002620315,0.001180711,0.001456424,0.002870695,0.0008781416],"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":[0.0000846171,0.00001020582,0.001085052,0.000515545,0.00001351582,0.00001830778,0.00001312543,0.00004023678,0.00002564545,0.0005124684,0.9916235,0.006057803],"study_design_scores_gemma":[0.0001404206,0.00001051459,0.002520698,0.0005125492,0.00001899335,0.00004500216,0.00006007408,0.00005501011,0.0000573902,0.0007572187,0.9958112,0.00001093466],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001271555,0.0001606548,0.0001351016,0.0002781585,0.00006651819,0.00008274787,0.99484,0.0001390471,0.004170677],"genre_scores_gemma":[0.000901203,0.0003334159,0.0007009057,0.0005962868,0.00006197857,0.0006922179,0.9904186,0.0001247552,0.006170594],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2785536,"threshold_uncertainty_score":0.9318547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01275738222298865,"score_gpt":0.3674534830499475,"score_spread":0.3546961008269588,"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."}}