{"id":"W3013115156","doi":"10.1016/j.anai.2020.01.016","title":"Unmet needs of children with peanut allergy","year":2020,"lang":"en","type":"article","venue":"Annals of Allergy Asthma & Immunology","topic":"Food Allergy and Anaphylaxis Research","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; BC Children's Hospital","funders":"Genentech; National Institute of Allergy and Infectious Diseases; De Blindas Vänner; Sanofi; National Institutes of Health; Genzyme","keywords":"Peanut allergy; Medicine; Allergy; Food allergy; Family medicine; Intensive care medicine; Environmental health; Immunology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000172452,0.0002823075,0.0007640214,0.0003490605,0.00006372346,0.000006620356,0.0004251973,0.0002291178,0.0009253371],"category_scores_gemma":[0.0001334837,0.0002334713,0.0002481903,0.0007973633,0.0006240064,0.0001066528,0.0002038425,0.0004615342,0.00005361187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007661585,"about_ca_system_score_gemma":0.0002216932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002365981,"about_ca_topic_score_gemma":0.00005040716,"domain_scores_codex":[0.998042,0.0001360958,0.000541027,0.0003125644,0.0004140134,0.0005542731],"domain_scores_gemma":[0.9984933,0.00006210813,0.0002542842,0.0005034623,0.000468603,0.0002183032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0595562,0.007582509,0.00436542,0.0007775906,0.08051683,0.0006283799,0.01641335,0.001708268,0.4487503,0.1533541,0.06597802,0.160369],"study_design_scores_gemma":[0.006606668,0.02677646,0.2325193,0.0002670648,0.000003926551,0.0002878423,0.002040391,0.0001045527,0.2083826,0.0002287293,0.5221003,0.0006822327],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9653512,0.00814267,0.0001276575,0.01809303,0.00004874954,0.0002382198,0.00002083406,0.00006579534,0.007911813],"genre_scores_gemma":[0.993493,0.003830611,0.0003369194,0.001494483,0.0001215356,0.00000964247,0.0001026009,0.00004487707,0.0005663357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4561222,"threshold_uncertainty_score":0.999988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03409872273234263,"score_gpt":0.2920965871532747,"score_spread":0.2579978644209321,"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."}}