{"id":"W4244447821","doi":"10.1515/iupac.84.0495","title":"Dermatitis","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Immunotoxicology and immune responses","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Immunotoxicology; Medicine; Immunology; Immune system; 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":[0.0007530514,0.0009791207,0.001015163,0.002652385,0.0006667185,0.002539066,0.00145722,0.001262394,0.1873786],"category_scores_gemma":[0.006661724,0.0003811543,0.001091781,0.003821349,0.0002359618,0.001716486,0.001379995,0.001282334,0.1578639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001210527,"about_ca_system_score_gemma":0.001865436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009608557,"about_ca_topic_score_gemma":0.02203539,"domain_scores_codex":[0.9989251,0.0001636809,0.0002107233,0.0003206159,0.0002646038,0.0001151731],"domain_scores_gemma":[0.9975768,0.0006691045,0.0003441631,0.0005247507,0.0007229847,0.0001622032],"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":[0.0001949066,0.00003182242,0.003210926,0.002356176,0.00004301054,0.00005478938,0.0000295168,0.0001788649,0.0001489166,0.001116472,0.967683,0.02495155],"study_design_scores_gemma":[0.00008200564,0.00001237695,0.004457318,0.0008039859,0.00002369765,0.0001382043,0.00005759615,0.00009167055,0.0001830765,0.0009769099,0.9931614,0.00001175507],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003582613,0.0004563397,0.0001528521,0.0001698192,0.00007946813,0.00004020894,0.9891565,0.0003422556,0.009244246],"genre_scores_gemma":[0.001620318,0.0006853824,0.0006632563,0.0004118053,0.00003249926,0.0001110437,0.9885159,0.0001008059,0.007858989],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1873786,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009946515159557587,"score_gpt":0.3613600897507592,"score_spread":0.3514135745912016,"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."}}