{"id":"W3111089652","doi":"10.1186/s13223-020-00501-6","title":"First pediatric electronic algorithm to stratify risk of penicillin allergy","year":2020,"lang":"en","type":"letter","venue":"Allergy Asthma and Clinical Immunology","topic":"Drug-Induced Adverse Reactions","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; St Joseph's Health Care; Western University","funders":"Provincial Health Services Authority","keywords":"Medicine; Penicillin allergy; Subspecialty; Drug allergy; Penicillin; Allergy; Algorithm; Population; Pediatrics; Intensive care medicine; Antibiotics; Family medicine; Immunology; Computer science; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.002234608,0.000471479,0.0004251795,0.001850732,0.0004403413,0.001209234,0.000634289,0.0009601164,0.008628403],"category_scores_gemma":[0.01786749,0.0001757503,0.0003674501,0.001047846,0.0002516384,0.001129241,0.0007138321,0.001162587,0.002846024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007794767,"about_ca_system_score_gemma":0.001186939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001521974,"about_ca_topic_score_gemma":0.001836901,"domain_scores_codex":[0.9975804,0.001153105,0.0004402467,0.0002181036,0.0004919012,0.0001162319],"domain_scores_gemma":[0.9896591,0.004633924,0.001344661,0.0006285753,0.003236563,0.0004971747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001130305,0.0006505591,0.2727443,0.0002343601,0.00007628278,0.002686576,0.0003360914,0.003761863,0.001530004,0.005264468,0.1686077,0.5429774],"study_design_scores_gemma":[0.001610443,0.002732464,0.3203304,0.002162382,0.0003706591,0.03969862,0.001565623,0.14737,0.01453125,0.0221832,0.4471305,0.0003145046],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4138715,0.008967538,0.310291,0.06835245,0.005123382,0.007253107,0.01607334,0.005591812,0.1644758],"genre_scores_gemma":[0.5284091,0.003335429,0.4219629,0.01408963,0.001535258,0.002535931,0.007022963,0.0003882438,0.02072061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008628403,"threshold_uncertainty_score":0.02886486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01913539945243238,"score_gpt":0.2950275107215509,"score_spread":0.2758921112691185,"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."}}