{"id":"W1991962098","doi":"10.1186/1710-1492-7-s2-a32","title":"A new insight into FEIA","year":2011,"lang":"en","type":"article","venue":"Allergy Asthma and Clinical Immunology","topic":"Food Allergy and Anaphylaxis Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; University of Toronto","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0006471089,0.0007584362,0.0009797702,0.002693933,0.0006548439,0.001758457,0.001052575,0.003805113,0.005756572],"category_scores_gemma":[0.002074032,0.0003195815,0.0006363941,0.001187589,0.001674475,0.0044435,0.001528587,0.00372985,0.001278836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008021539,"about_ca_system_score_gemma":0.0005302396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008246503,"about_ca_topic_score_gemma":0.0007390812,"domain_scores_codex":[0.9993193,0.0001237708,0.00008402424,0.0002024159,0.0001039276,0.0001666565],"domain_scores_gemma":[0.9991543,0.0004269905,0.0001167717,0.00007620754,0.0001243418,0.0001013724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003630107,0.0003120163,0.03153156,0.003941235,0.0002257041,0.2418587,0.004768344,0.0005614922,0.01059649,0.08228289,0.08629419,0.5372643],"study_design_scores_gemma":[0.00002972503,0.0001949827,0.009458014,0.001759691,0.000071603,0.7169766,0.001380532,0.000653798,0.000873422,0.02132945,0.2472003,0.00007188333],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.0656267,0.7739153,0.02107526,0.07389393,0.01210668,0.0001143048,0.0004274942,0.0004584825,0.05238189],"genre_scores_gemma":[0.4167481,0.4415673,0.01862866,0.04947326,0.05534361,0.0001609679,0.0007005464,0.0001743969,0.01720315],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005756572,"threshold_uncertainty_score":0.01925772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04927555750089316,"score_gpt":0.3421127905306926,"score_spread":0.2928372330297994,"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."}}