{"id":"W4238843252","doi":"10.1515/iupac.79.1272","title":"Exposure Ratio","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; Computer science; Toxicology; Chemistry; Philosophy; Biology; 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":[0.001433892,0.00160342,0.001959111,0.003797135,0.0004653262,0.002201861,0.002400276,0.001523304,0.1212881],"category_scores_gemma":[0.01304176,0.0004433898,0.003223339,0.004783626,0.0002182437,0.002019834,0.001370557,0.001852833,0.08307613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001337989,"about_ca_system_score_gemma":0.001568381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01408466,"about_ca_topic_score_gemma":0.0177435,"domain_scores_codex":[0.9980179,0.0002847606,0.0004284493,0.0008003925,0.0003427647,0.0001257814],"domain_scores_gemma":[0.9965842,0.001208971,0.0005230817,0.0006114938,0.0009300074,0.0001422309],"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":[0.0004708825,0.00005809271,0.007957359,0.004103869,0.000493547,0.00005363652,0.00003460897,0.001018369,0.000159168,0.001223398,0.9600431,0.02438406],"study_design_scores_gemma":[0.0005970014,0.00007365775,0.01598144,0.001121189,0.0004146879,0.0002744231,0.00008854597,0.0006386245,0.0003716126,0.003184513,0.9771851,0.00006920581],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000267507,0.0003386317,0.0001607522,0.00009360972,0.00004847159,0.00003160393,0.9973794,0.0001859632,0.001494102],"genre_scores_gemma":[0.002393821,0.0004526612,0.0007714145,0.0003001671,0.00005919112,0.0002777291,0.9928904,0.0001109303,0.002743766],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1212881,"threshold_uncertainty_score":0.4057492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009344609415161858,"score_gpt":0.3384154498471034,"score_spread":0.3290708404319416,"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."}}