{"id":"W4324028822","doi":"10.1101/2023.03.11.532245","title":"A Living Organoid Biobank of Crohn’s Disease Patients Reveals Molecular Subtypes for Personalized Therapeutics","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Inflammatory Bowel Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biobank; Organoid; Disease; Personalized medicine; Medicine; Crohn's disease; Computational biology; Bioinformatics; Internal medicine; Biology; Genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001181223,0.0002352865,0.0005105956,0.001425185,0.0006788533,0.001376772,0.0004244383,0.0005227061,0.002763887],"category_scores_gemma":[0.001608424,0.0001787712,0.0003118939,0.001222545,0.0004468402,0.0004570135,0.001155423,0.0005769584,0.0009365643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003962542,"about_ca_system_score_gemma":0.0004342249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000727741,"about_ca_topic_score_gemma":0.0007812671,"domain_scores_codex":[0.9992837,0.0001524103,0.000102322,0.0002686947,0.0001309582,0.00006193052],"domain_scores_gemma":[0.9987661,0.000212518,0.0002650028,0.0003743842,0.0002084018,0.000173725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.006590629,0.0004578581,0.5490854,0.0005121126,0.0001676252,0.002942118,0.00276487,0.001587372,0.3503149,0.00186124,0.004668701,0.07904715],"study_design_scores_gemma":[0.0002187664,0.002510556,0.8439153,0.0003487184,0.0003045264,0.007302773,0.004172503,0.003438848,0.06953468,0.002181318,0.06598295,0.00008905856],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847704,0.001410943,0.005315828,0.000270923,0.00004206549,0.0002162107,0.006285542,0.00007606565,0.00161215],"genre_scores_gemma":[0.9671298,0.0008440883,0.01287663,0.0003421821,0.0000613906,0.0005347503,0.01676259,0.00004815241,0.001400563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002763887,"threshold_uncertainty_score":0.009246171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0137371531686407,"score_gpt":0.2347067223044346,"score_spread":0.2209695691357939,"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."}}