{"id":"W4252859715","doi":"10.1515/iupac.78.0550","title":"Route of 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); Pesticide; Chemical nomenclature; Computer science; Ecology; Chemistry; 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":[0.001008321,0.001254261,0.00157134,0.003347937,0.0005956165,0.001768152,0.001686123,0.001271872,0.1582395],"category_scores_gemma":[0.009807103,0.0004293505,0.001412491,0.006348173,0.0002980641,0.001633557,0.001261697,0.001528485,0.0833817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001432634,"about_ca_system_score_gemma":0.002417361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01999996,"about_ca_topic_score_gemma":0.03173306,"domain_scores_codex":[0.9987184,0.0001880952,0.0003515282,0.0004345306,0.0002032454,0.0001042344],"domain_scores_gemma":[0.9960719,0.001282351,0.0008177909,0.0006346037,0.001002949,0.0001902842],"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":[0.0001743898,0.00002032094,0.002873214,0.003269602,0.00007365463,0.00004752852,0.0000394466,0.0001746736,0.0001118453,0.0008107795,0.9833632,0.009041385],"study_design_scores_gemma":[0.0001446272,0.00002184916,0.007705663,0.001798795,0.0000685648,0.000148488,0.00007990872,0.00008312069,0.0001330202,0.00150615,0.9882839,0.00002595078],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001012346,0.0002331084,0.00006384039,0.00005897355,0.00002328519,0.00002302337,0.9982268,0.00003929894,0.001230454],"genre_scores_gemma":[0.001051818,0.0006010178,0.0003671927,0.0002483896,0.00002331464,0.0002679919,0.9950176,0.00004422194,0.002378446],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1582395,"threshold_uncertainty_score":0.5293638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01025247995388697,"score_gpt":0.3402971294976765,"score_spread":0.3300446495437896,"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."}}