{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002365555,0.0004625939,0.0005618272,0.00009043531,0.00007210763,0.0000351146,0.0005409034,0.0004794477,0.007782415],"category_scores_gemma":[0.0003786632,0.0003304065,0.0002352851,0.0001514964,0.00007671968,0.00007192235,0.0003019176,0.0006141232,0.0000151479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004567047,"about_ca_system_score_gemma":0.0001234583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004994505,"about_ca_topic_score_gemma":0.00008483739,"domain_scores_codex":[0.9975505,0.00002420483,0.0005169129,0.0005143982,0.0009204381,0.0004734714],"domain_scores_gemma":[0.9985258,0.0001065542,0.0001594579,0.0008410299,0.0001674199,0.0001997634],"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":[0.00008556713,0.0001234773,6.463406e-7,0.0002510101,0.0001382171,0.00004320555,0.000004505122,0.00002947811,0.0004756668,0.0000635836,0.9947626,0.00402202],"study_design_scores_gemma":[0.0008582576,0.00005597311,0.000002300365,0.0003664622,0.0001154516,0.000003657816,0.000006338151,0.00005734915,0.0006994006,0.0001153276,0.9972253,0.0004942113],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001806288,0.0007519358,0.002538616,0.0007753687,0.0005817275,0.0002143708,0.9947779,0.0001722175,0.0001698032],"genre_scores_gemma":[0.00003647655,0.001336454,0.00005443103,0.0002377465,0.001614869,0.00002021684,0.9945326,0.00004847857,0.002118674],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.007767267,"threshold_uncertainty_score":0.9999148,"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."}}