{"id":"W4246394188","doi":"10.1515/iupac.81.0365","title":"Exposure Assessment","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Occupational and environmental lung diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Environmental risk assessment; Relation (database); Computer science; Risk assessment; Ecology; Biology; Data mining; Linguistics; Philosophy","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":[0.002316965,0.001399284,0.001306248,0.00379086,0.0005250829,0.001956613,0.002614073,0.001607366,0.09764696],"category_scores_gemma":[0.01461507,0.0004941626,0.002431636,0.004592431,0.0002548253,0.001671512,0.001961506,0.00182129,0.06841618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001814393,"about_ca_system_score_gemma":0.002753431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01526177,"about_ca_topic_score_gemma":0.0283326,"domain_scores_codex":[0.9976681,0.0004835537,0.000484319,0.0006711902,0.0005237333,0.0001690509],"domain_scores_gemma":[0.9944054,0.001879165,0.0007051181,0.001151974,0.001619462,0.0002390031],"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":[0.0001865049,0.00004713002,0.005017642,0.003502759,0.0001674682,0.00004962868,0.00003469782,0.0008644313,0.0001655539,0.001379443,0.9664942,0.02209064],"study_design_scores_gemma":[0.0001502302,0.00002702249,0.007379259,0.001108674,0.00008906804,0.0001313615,0.00006348085,0.0004623357,0.0002957098,0.002414856,0.9878455,0.00003256531],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001906968,0.0002478643,0.0002941935,0.000116097,0.00003234741,0.00004555886,0.9968268,0.0002037617,0.002042642],"genre_scores_gemma":[0.001030481,0.0002855322,0.001095788,0.000176605,0.00001634942,0.0002155598,0.9953268,0.00005631023,0.001796627],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09764696,"threshold_uncertainty_score":0.3266616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01205063582013374,"score_gpt":0.4167926035946647,"score_spread":0.404741967774531,"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."}}