{"id":"W4309096219","doi":"10.1111/all.15579","title":"Precision cut intestinal slices, a novel model of acute food allergic reactions","year":2022,"lang":"en","type":"article","venue":"Allergy","topic":"Food Allergy and Anaphylaxis Research","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; SickKids Foundation; Toronto General Hospital; University Health Network; Hospital for Sick Children","funders":"Sickkids Research Institute; Canadian Institutes of Health Research; Hospital for Sick Children; HSBC Bank USA","keywords":"Food hypersensitivity; Allergic reaction; Medicine; Food allergy; Allergy; Immunology","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":[0.0003224144,0.0007809931,0.000281198,0.0003439762,0.0002414118,0.000329126,0.0004607343,0.0005997805,0.001526256],"category_scores_gemma":[0.0001585899,0.0003359655,0.0004265194,0.0002082785,0.0004043317,0.00036031,0.0003886964,0.001418675,0.0004730048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003428807,"about_ca_system_score_gemma":0.0003380891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005838998,"about_ca_topic_score_gemma":0.001297108,"domain_scores_codex":[0.9997256,0.00003976883,0.00002185713,0.00007683934,0.00009043334,0.00004551899],"domain_scores_gemma":[0.999755,0.00004087211,0.00008099551,0.00003470482,0.00002654256,0.00006187807],"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":[0.0002904235,0.0001113922,0.0005156773,0.000125191,0.00001127343,0.0003642607,0.00003763426,0.0001266723,0.9969496,0.0001395467,0.0001173345,0.001210928],"study_design_scores_gemma":[0.0002144785,0.009306828,0.02380123,0.00008636467,0.0001436977,0.005475867,0.0002470785,0.002906345,0.9449029,0.0002940276,0.0125893,0.00003191434],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9579843,0.006124542,0.02811049,0.00036252,0.0002680984,0.0005869909,0.001908088,0.0003244758,0.004330443],"genre_scores_gemma":[0.9594665,0.004366488,0.0291062,0.0002122735,0.00005851345,0.000570376,0.002625678,0.00005260962,0.003541216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001526256,"threshold_uncertainty_score":0.005105853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04787165802074302,"score_gpt":0.3072253017958474,"score_spread":0.2593536437751044,"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."}}