{"id":"W4235766611","doi":"10.1515/iupac.84.1263","title":"Warm Autoantibody Type","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; Autoantibody; Immunology; Medicine; 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":[0.0008733444,0.001318693,0.001486319,0.003514936,0.0007093999,0.002625155,0.001727101,0.001781826,0.077419],"category_scores_gemma":[0.008550695,0.0004964927,0.001426088,0.004531115,0.0003550319,0.001912234,0.001642255,0.001931399,0.05914747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001188212,"about_ca_system_score_gemma":0.001913195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01131494,"about_ca_topic_score_gemma":0.02210836,"domain_scores_codex":[0.9985957,0.0001670619,0.0003180765,0.0004918271,0.0002416058,0.0001856891],"domain_scores_gemma":[0.9962007,0.001086922,0.0008493714,0.0008099389,0.0007796858,0.0002733996],"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":[0.0004028038,0.0000425628,0.01008465,0.003091295,0.0001174157,0.0001059866,0.00003903466,0.0003239186,0.0002491709,0.0009598095,0.9738145,0.01076874],"study_design_scores_gemma":[0.0003042433,0.00003729688,0.02191096,0.001590112,0.0001095466,0.0003740461,0.0001070716,0.0002860437,0.0004712288,0.002279695,0.972484,0.00004571047],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003681528,0.0002693819,0.00008556822,0.00009063147,0.0000517275,0.00002299767,0.9974219,0.000131213,0.001558381],"genre_scores_gemma":[0.001756269,0.0003146047,0.0004249295,0.0002361664,0.00003241578,0.000126251,0.9950582,0.00005983832,0.001991355],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.077419,"threshold_uncertainty_score":0.2589924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01266401040089325,"score_gpt":0.3881010171415407,"score_spread":0.3754370067406474,"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."}}