{"id":"W4230597084","doi":"10.1515/iupac.84.0642","title":"Hives","year":2016,"lang":"fr","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","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":[0.001301683,0.001270277,0.00118215,0.003731493,0.001024738,0.003709654,0.002463134,0.001862081,0.2085468],"category_scores_gemma":[0.0138065,0.0006067528,0.001387182,0.00646772,0.0003307951,0.002746973,0.002485319,0.001815743,0.2180464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001726441,"about_ca_system_score_gemma":0.00297117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02099491,"about_ca_topic_score_gemma":0.03523335,"domain_scores_codex":[0.9982835,0.0003205441,0.0002939282,0.0005012848,0.0003694045,0.000231311],"domain_scores_gemma":[0.9954841,0.001296538,0.0005159772,0.001157886,0.001205168,0.0003402963],"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":[0.00009492592,0.00001266205,0.00120997,0.0007513553,0.00002634533,0.00001815176,0.00002459399,0.0001407281,0.00004627913,0.00110223,0.9908065,0.005766258],"study_design_scores_gemma":[0.00009619936,0.00001044551,0.002151048,0.0005042927,0.00001678108,0.00004648336,0.00007298952,0.0001494285,0.0001132683,0.001437887,0.995385,0.00001611424],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001015933,0.0001128578,0.00008609073,0.0001274754,0.00004069831,0.00001860788,0.9970277,0.0002960528,0.002188928],"genre_scores_gemma":[0.0004841987,0.0001444083,0.0003256992,0.0001855353,0.00001834633,0.00009639521,0.9963134,0.0001070629,0.002325012],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2085468,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01673547408310208,"score_gpt":0.4166574868431396,"score_spread":0.3999220127600376,"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."}}