{"id":"W4246410861","doi":"10.1515/iupac.79.1274","title":"Exposure Test","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemical Safety and Risk Management","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Hazard; Toxicology; Computer science; Chemistry; Biology; Philosophy; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002327153,0.0005040548,0.0005940771,0.0000954428,0.00007063564,0.0000327395,0.0006259343,0.0005165422,0.00716058],"category_scores_gemma":[0.000956335,0.000358529,0.0002456,0.0001729346,0.0000897167,0.00006216426,0.0003706811,0.000688826,0.00001887333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004804722,"about_ca_system_score_gemma":0.0001134366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005330054,"about_ca_topic_score_gemma":0.00008368744,"domain_scores_codex":[0.9974217,0.00001601673,0.0005232315,0.0005543869,0.0009452195,0.0005394018],"domain_scores_gemma":[0.9982612,0.000262316,0.000163552,0.0009111406,0.0001706645,0.0002310928],"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":[0.00005042109,0.0002298115,0.000003078772,0.0002975185,0.0001003675,0.00006035553,0.000003042242,0.00001040618,0.0004736467,0.00001773059,0.9944484,0.004305208],"study_design_scores_gemma":[0.0008613593,0.00008445056,0.000005423952,0.0005028712,0.0001238682,0.000005303506,0.000005652112,0.00003042398,0.0005174535,0.00009607413,0.997223,0.0005441402],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001644829,0.0007601617,0.0005504637,0.0007975923,0.0004777765,0.0001996175,0.9967695,0.0001997575,0.0002286202],"genre_scores_gemma":[0.00003983304,0.001553215,0.00005367279,0.0002268847,0.001647896,0.00001836773,0.9942231,0.00005668531,0.002180331],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.007141707,"threshold_uncertainty_score":0.9998867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008593450226308356,"score_gpt":0.3352005500890071,"score_spread":0.3266070998626987,"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."}}