{"id":"W2511514191","doi":"10.1186/s13223-016-0148-7","title":"Antibiotic prescription and food allergy in young children","year":2016,"lang":"en","type":"article","venue":"Allergy Asthma and Clinical Immunology","topic":"Food Allergy and Anaphylaxis Research","field":"Medicine","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Maternal and Child Health Bureau; University of South Carolina","keywords":"Medicine; Medical prescription; Odds ratio; Antibiotics; Pediatrics; Diagnosis code; Logistic regression; Asthma; Medicaid; Internal medicine; Environmental health; Population","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003480001,0.0001693285,0.0001683229,0.0009603615,0.0002319585,0.0003937075,0.0002481527,0.0003270033,0.001662378],"category_scores_gemma":[0.001966643,0.0001658265,0.0002797977,0.0009951489,0.0001833568,0.0002336256,0.0002257192,0.0004549085,0.0001648135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005775781,"about_ca_system_score_gemma":0.0005725384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01932313,"about_ca_topic_score_gemma":0.01764588,"domain_scores_codex":[0.999652,0.00007413317,0.0000394575,0.000061103,0.0001047942,0.00006855413],"domain_scores_gemma":[0.9974611,0.0003233355,0.001817778,0.0000381142,0.0001483236,0.0002114434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001257935,0.00001225581,0.9992691,0.00001143344,0.00001160748,0.00004928718,0.00001612109,0.0000110815,0.00003247439,0.000006025483,0.00006696935,0.0005011405],"study_design_scores_gemma":[0.000001430195,0.00002068916,0.9994693,0.00001556645,0.000007500523,0.0002557794,0.00004583337,0.00003740664,0.00002371033,0.000005265313,0.0001164671,8.806894e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973462,0.001123625,0.00004580619,0.0001010219,0.00001089505,0.00001003993,0.0008175663,0.000003674043,0.0005410498],"genre_scores_gemma":[0.9987788,0.0004742954,0.0001094585,0.00004761746,0.00001285725,0.00001079939,0.0004211824,0.000001155644,0.0001437851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01932313,"threshold_uncertainty_score":0.03842133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02009477964515397,"score_gpt":0.3067637103672364,"score_spread":0.2866689307220824,"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."}}