{"id":"W4240029149","doi":"10.1515/iupac.78.0124","title":"Acute Exposure","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; Pesticide; Computer science; Management science; Data science; Engineering; Chemistry; 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":[0.001228049,0.001419285,0.001682112,0.003220981,0.000659279,0.001885168,0.002013462,0.001436971,0.1329479],"category_scores_gemma":[0.01001169,0.0004594548,0.001715542,0.00666284,0.0003261085,0.001736215,0.001493666,0.001524504,0.06304931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001718744,"about_ca_system_score_gemma":0.002613751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02038006,"about_ca_topic_score_gemma":0.03562734,"domain_scores_codex":[0.9983919,0.0002503516,0.000448287,0.0004799726,0.0002959686,0.0001334158],"domain_scores_gemma":[0.9953765,0.001247052,0.001042796,0.0007080148,0.001381871,0.0002438173],"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":[0.0002842394,0.00003117765,0.003671201,0.0037785,0.0001087325,0.00004619435,0.0000373767,0.0001778864,0.0001207785,0.0006950493,0.9826445,0.008404353],"study_design_scores_gemma":[0.0003468897,0.00004823214,0.01833333,0.002409376,0.0001365103,0.0001805792,0.0001204895,0.000122843,0.0002188608,0.001828756,0.976208,0.00004619237],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001307401,0.0001801349,0.00005269908,0.00005931726,0.00001983322,0.00002987798,0.9985245,0.00004183481,0.0009610708],"genre_scores_gemma":[0.0008829853,0.0003857777,0.0002696169,0.0001995263,0.00002347122,0.000329664,0.9962243,0.0000293446,0.001655373],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1329479,"threshold_uncertainty_score":0.444755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00935588234185419,"score_gpt":0.344824238323438,"score_spread":0.3354683559815838,"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."}}