{"id":"W4239374251","doi":"10.1515/iupac.79.1356","title":"Guideline for Exposure Limits","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; Guideline; Multidisciplinary approach; Hazard; Computer science; Toxicology; Medicine; Chemistry; Philosophy; Pathology; Biology; Political science; Linguistics; Law","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":[0.0004835503,0.0005701027,0.0007516041,0.0001110672,0.00008953446,0.00003243584,0.0006648254,0.0006005239,0.002566018],"category_scores_gemma":[0.001097483,0.0004143897,0.0003969141,0.0001439562,0.00006749084,0.0000656199,0.0002235451,0.0004623013,0.000004959435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004582563,"about_ca_system_score_gemma":0.0001514111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003360724,"about_ca_topic_score_gemma":0.0000944304,"domain_scores_codex":[0.9969072,0.00001732798,0.0009615882,0.000660489,0.0008164784,0.0006369337],"domain_scores_gemma":[0.9979086,0.0002272776,0.000261633,0.0009023439,0.0004607775,0.0002393672],"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":[0.0002500774,0.0001643658,2.525541e-7,0.0004583176,0.0001976607,0.00001470791,0.000003016346,0.00005410934,0.0005451054,0.00005613424,0.9895011,0.00875512],"study_design_scores_gemma":[0.001776006,0.0001319429,3.828785e-7,0.0004360991,0.0002187681,0.000003061122,0.000006734179,0.0002014025,0.0009348996,0.0002582435,0.9954174,0.000615129],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000005737185,0.001070986,0.01765501,0.002173988,0.0007496598,0.000539874,0.9775503,0.0001841039,0.00007033392],"genre_scores_gemma":[0.000006100306,0.001266605,0.0009032598,0.0006296111,0.002820794,0.00007173861,0.9926065,0.00008126556,0.001614128],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01675175,"threshold_uncertainty_score":0.9998308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01520124528147864,"score_gpt":0.3720191116089454,"score_spread":0.3568178663274668,"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."}}