{"id":"W4407285157","doi":"10.1093/jcag/gwae059.002","title":"A2 USING BIOPSY-DERIVED ORGANOIDS AND GUT-ON-A-CHIP PLATFORM TO DEVELOP A PHYSIOLOGICALLY RELEVANT BACTERIAL INFECTION MODEL","year":2025,"lang":"en","type":"article","venue":"Journal of the Canadian Association of Gastroenterology","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital; University of British Columbia","funders":"","keywords":"Organoid; Organ-on-a-chip; Computational biology; Computer science; Biology; Cell biology; Nanotechnology; Microfluidics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004745169,0.0005723463,0.0003663253,0.0003414307,0.0002137226,0.0004669689,0.0003601064,0.0006411627,0.001202218],"category_scores_gemma":[0.000265089,0.0002419402,0.0005863628,0.00019047,0.0002223903,0.0002564381,0.0004476246,0.0007556983,0.000671139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002934917,"about_ca_system_score_gemma":0.0003928441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001186883,"about_ca_topic_score_gemma":0.001542361,"domain_scores_codex":[0.9996623,0.00005314646,0.00002844714,0.00008740071,0.0001177647,0.00005094762],"domain_scores_gemma":[0.9997366,0.00005821309,0.00004454609,0.0000462055,0.00005707757,0.00005735815],"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":[0.00008836577,0.00004951673,0.0005403136,0.0001458013,0.00001237533,0.000186469,0.00004170789,0.001498892,0.9945575,0.0002182346,0.0001955987,0.002465366],"study_design_scores_gemma":[0.00002141036,0.0009198249,0.004021523,0.00003507549,0.00005974286,0.0006036609,0.0001042069,0.01608922,0.9684175,0.0001315945,0.009565272,0.00003086976],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8175278,0.003367757,0.1688019,0.0003317998,0.0003522693,0.0005808974,0.003083657,0.001163958,0.004789829],"genre_scores_gemma":[0.8974148,0.001833569,0.09336318,0.0002159559,0.00002055981,0.0008364006,0.002453338,0.00008081204,0.003781431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001202218,"threshold_uncertainty_score":0.004021823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01760235872368385,"score_gpt":0.2550732473483458,"score_spread":0.237470888624662,"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."}}