{"id":"W4252645854","doi":"10.1515/iupac.79.0932","title":"Biomarker of Exposure","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Hazard; Toxicology; Computer science; Multidisciplinary approach; Chemistry; Biology; Philosophy; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001698646,0.001237878,0.001606309,0.002991197,0.0004212704,0.001614093,0.001651149,0.0012408,0.06208027],"category_scores_gemma":[0.01478395,0.0003634747,0.001945466,0.004897496,0.0002610021,0.001171434,0.001246804,0.001489673,0.0319223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001156776,"about_ca_system_score_gemma":0.002338957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009943434,"about_ca_topic_score_gemma":0.01541562,"domain_scores_codex":[0.9980133,0.0003619043,0.0004568346,0.0006929431,0.0003396597,0.0001353451],"domain_scores_gemma":[0.9948602,0.001662315,0.001072035,0.0009061298,0.001273902,0.0002254125],"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":[0.0009585323,0.00009135417,0.03373059,0.008684913,0.0008222628,0.0001126456,0.00008424235,0.001005827,0.0004667628,0.002254195,0.9036965,0.04809214],"study_design_scores_gemma":[0.0004160078,0.0001057986,0.05025089,0.00209881,0.0005328798,0.0003188062,0.0001058137,0.0004036891,0.000588496,0.003953676,0.9411619,0.00006324828],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006105177,0.000640978,0.0003236375,0.0001114192,0.00005710886,0.00005323989,0.9963517,0.00009668286,0.001754685],"genre_scores_gemma":[0.003879577,0.0008029089,0.001189445,0.000336813,0.00004992966,0.0004009549,0.990682,0.0000536281,0.002604605],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06208027,"threshold_uncertainty_score":0.2076792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01242742994602489,"score_gpt":0.3818124412604773,"score_spread":0.3693850113144523,"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."}}