{"id":"W4233804575","doi":"10.1515/iupac.81.0315","title":"Emulsifier","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Urticaria and Related Conditions","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; Ecology; Risk assessment; Biology; Data mining; Philosophy; 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":[0.0008248672,0.001974827,0.001419789,0.003194437,0.0007318687,0.002391861,0.002679726,0.002120118,0.07719448],"category_scores_gemma":[0.005978051,0.000478382,0.001637139,0.004390808,0.0003134538,0.002088703,0.001714538,0.001669784,0.1399916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001410857,"about_ca_system_score_gemma":0.002106268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01402611,"about_ca_topic_score_gemma":0.03023511,"domain_scores_codex":[0.9990655,0.0001332376,0.0001697643,0.0002950097,0.0002206821,0.0001159305],"domain_scores_gemma":[0.9980757,0.0004769521,0.0003058976,0.0003872816,0.000598161,0.0001559636],"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":[0.0002127877,0.00003950064,0.002041171,0.001854821,0.0000501068,0.00005163118,0.00002577634,0.000352095,0.0002053628,0.0007944782,0.983227,0.01114529],"study_design_scores_gemma":[0.0001598984,0.0000261539,0.003347473,0.0005110338,0.00004184806,0.0001183323,0.00005329639,0.0003248968,0.0003985878,0.001134534,0.9938598,0.00002412075],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002429398,0.0003209991,0.0001181977,0.0001003816,0.00003343027,0.00002386572,0.9969262,0.0003954231,0.001838389],"genre_scores_gemma":[0.0005481289,0.0002537762,0.0004346446,0.0001180988,0.00001099776,0.00008192695,0.9971704,0.00006277269,0.00131931],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07719448,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0143084990695875,"score_gpt":0.3995412708684095,"score_spread":0.385232771798822,"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."}}