{"id":"W7015986297","doi":"","title":"Using BALB/c mice as a model of food allergy to study gene expression profiles in response to common food allergens","year":2010,"lang":"en","type":"dissertation","venue":"The Atrium (University of Guelph)","topic":"Food Allergy and Anaphylaxis Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Library and Archives Canada","funders":"Ministry of Agriculture, Food and Rural Affairs; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Ovalbumin; Sensitization; Food allergy; Microarray; Spleen; Local lymph node assay; Immune system; Allergen; Allergic response","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005884848,0.001623796,0.0006570002,0.002463252,0.0008041817,0.0006964972,0.0007343086,0.00148206,0.00516422],"category_scores_gemma":[0.0001754609,0.0005985806,0.0007931212,0.0009925091,0.0007379227,0.000654813,0.0004336656,0.00292033,0.001231576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006626497,"about_ca_system_score_gemma":0.0005647754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001495536,"about_ca_topic_score_gemma":0.002944113,"domain_scores_codex":[0.9991984,0.00007890946,0.00008690196,0.0003034236,0.0001658443,0.0001664978],"domain_scores_gemma":[0.9994752,0.00007006412,0.0001556342,0.00006123527,0.00006973309,0.0001682757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005381561,0.0003974286,0.0003005831,0.00007969186,0.00001231709,0.00008966305,0.00005407619,0.00009006301,0.99737,0.0001720223,0.0001327791,0.0007631039],"study_design_scores_gemma":[0.000607991,0.004671192,0.02047879,0.0001179274,0.0001833656,0.00122715,0.0002917807,0.002722463,0.9556503,0.0004873632,0.01349611,0.00006539387],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9620964,0.00387026,0.01646142,0.0009398775,0.0004002899,0.0007450477,0.009801985,0.0006756251,0.005009143],"genre_scores_gemma":[0.8758685,0.006213746,0.06164724,0.001383128,0.0001874636,0.004304152,0.01373979,0.0004611318,0.03619493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00516422,"threshold_uncertainty_score":0.01727599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04409449730665153,"score_gpt":0.3025532346206594,"score_spread":0.2584587373140078,"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."}}