{"id":"W3084176537","doi":"10.1111/all.14582","title":"Biomarkers for diagnosis and prediction of therapy responses in allergic diseases and asthma","year":2020,"lang":"en","type":"review","venue":"Allergy","topic":"Allergic Rhinitis and Sensitization","field":"Medicine","cited_by":246,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"Allergy Therapeutics; Mylan; Sanofi","keywords":"Medicine; Atopic dermatitis; Asthma; Allergy; Allergen immunotherapy; Precision medicine; Biomarker; Personalized medicine; Endotype; Intensive care medicine; Disease; Immunology; Microbiome; Omalizumab; Immunoglobulin E; Allergen; Bioinformatics; Internal medicine; Pathology","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":[0.004769782,0.00113581,0.001772771,0.003438327,0.0004109378,0.002270005,0.0009734436,0.00276347,0.00347928],"category_scores_gemma":[0.006288227,0.0003137678,0.001393577,0.001723747,0.0009983444,0.001751207,0.00144801,0.002846127,0.002727739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001191593,"about_ca_system_score_gemma":0.001664886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001405729,"about_ca_topic_score_gemma":0.001431478,"domain_scores_codex":[0.9965088,0.001293964,0.0005259503,0.0003836554,0.001106816,0.0001809407],"domain_scores_gemma":[0.9961355,0.002189802,0.0005091137,0.0001205867,0.0009204109,0.0001246839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003418132,0.000132188,0.006766534,0.01574223,0.0004792319,0.0007566008,0.0002300531,0.0009412749,0.008212253,0.01620044,0.07944714,0.8707502],"study_design_scores_gemma":[0.00003793022,0.0003362268,0.007574991,0.009939324,0.0004984314,0.003242117,0.0001572992,0.0006078056,0.004354405,0.01058431,0.9625821,0.00008504368],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008129022,0.9808524,0.004827593,0.006951829,0.001832667,0.00006963241,0.0004307204,0.0001055649,0.004116621],"genre_scores_gemma":[0.01490054,0.95694,0.01317026,0.006064822,0.003755072,0.0002327848,0.00107299,0.00004440623,0.003819076],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004769782,"threshold_uncertainty_score":0.02522534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05163794610650688,"score_gpt":0.3144401439123394,"score_spread":0.2628021978058325,"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."}}