{"id":"W4388582619","doi":"10.22541/au.169967226.62811705/v1","title":"Biomarkers to predict changes in peanut allergy in children over time","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Food Allergy and Anaphylaxis Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Population Health Research Institute","funders":"Biotechnology and Biological Sciences Research Council; National Institute of Allergy and Infectious Diseases; Medical Research Council; King's College London; Asthma and Lung UK; National Institute for Health and Care Research; Action Medical Research; Immune Tolerance Network; Rosetrees Trust; European Commission; Sanofi; Aimmune Therapeutics; National Institutes of Health; Allergy Therapeutics; Food Allergy Research and Education; Pfizer","keywords":"Peanut allergy; Cohort; High resolution; Allergy; Medicine; Pediatrics; Immunology; Internal medicine; Food allergy","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":[0.0009397608,0.0004430894,0.0005034349,0.001104832,0.0002625248,0.0007906254,0.0003104592,0.0006698341,0.001419997],"category_scores_gemma":[0.002883707,0.0002639325,0.0004682694,0.001077895,0.0002358728,0.0007747285,0.0005664685,0.001023651,0.0003475267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005503664,"about_ca_system_score_gemma":0.0002952038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003437599,"about_ca_topic_score_gemma":0.003041455,"domain_scores_codex":[0.999541,0.00008548319,0.00005769021,0.0000906487,0.0001329067,0.00009238214],"domain_scores_gemma":[0.9980597,0.0003109063,0.001071827,0.00005279198,0.000260361,0.0002443867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001051137,0.0000195881,0.997407,0.00002547245,0.00002002468,0.00006091522,0.00005737269,0.00005142781,0.0003536534,0.000007985287,0.00009871131,0.001792601],"study_design_scores_gemma":[0.000003635977,0.0001983592,0.9987028,0.00001788155,0.0000191827,0.0003422867,0.0001128735,0.0001161624,0.000190949,0.00001407199,0.0002785778,0.000003149973],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955261,0.002595477,0.0002091991,0.0001419889,0.00002145208,0.00003016085,0.0007986382,0.00001633139,0.000660632],"genre_scores_gemma":[0.9975663,0.0006430614,0.0006854759,0.00005903877,0.00001665105,0.00003898494,0.000618082,0.00000415193,0.0003681323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003437599,"threshold_uncertainty_score":0.006835222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0263450323620205,"score_gpt":0.3066237294258848,"score_spread":0.2802786970638643,"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."}}