{"id":"W4251159376","doi":"10.1515/iupac.78.0207","title":"Chronic Effect","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; Field (mathematics); Pesticide; Management science; Data science; Chemistry; Engineering; Ecology; Data mining; Biology; Mathematics; 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":[0.001295486,0.001276056,0.001676024,0.003670369,0.0006821345,0.002025676,0.001972813,0.001517628,0.1293574],"category_scores_gemma":[0.01173255,0.0004340716,0.002287241,0.007058714,0.0003446226,0.0018727,0.001360328,0.00155187,0.04496122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001772166,"about_ca_system_score_gemma":0.003102651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02480311,"about_ca_topic_score_gemma":0.04617168,"domain_scores_codex":[0.998244,0.0002442899,0.0004606264,0.0005437349,0.0003467634,0.0001604768],"domain_scores_gemma":[0.9941416,0.0017609,0.001494365,0.0008047663,0.001511331,0.0002869471],"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":[0.0002912463,0.00002421983,0.005910384,0.005213936,0.0001859651,0.0000409649,0.00003926163,0.0002014743,0.00009316498,0.001123102,0.9776952,0.009181048],"study_design_scores_gemma":[0.0003727012,0.00004910345,0.02583031,0.003383514,0.0002877922,0.0002098545,0.0001143929,0.0001479939,0.000174752,0.002114147,0.9672637,0.00005169203],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001512799,0.0004000014,0.000043928,0.00008250116,0.00003140308,0.00002562617,0.9980301,0.00003688909,0.001198219],"genre_scores_gemma":[0.001667396,0.0007955375,0.0002991678,0.0003169475,0.0000454859,0.0003489142,0.9941083,0.00004129824,0.002377049],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1293574,"threshold_uncertainty_score":0.4327437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00710501626441482,"score_gpt":0.3436226243262596,"score_spread":0.3365176080618448,"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."}}