{"id":"W3125485476","doi":"10.3389/fcell.2020.618552","title":"A Semi-automated Organoid Screening Method Demonstrates Epigenetic Control of Intestinal Epithelial Differentiation","year":2021,"lang":"en","type":"article","venue":"Frontiers in Cell and Developmental Biology","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Structural Genomics Consortium; Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"Leibniz-Gemeinschaft; Horizon 2020 Framework Programme; Centre for Digital Life Norway; Norges Forskningsråd; Kreftforeningen","keywords":"Organoid; Epigenetics; Biology; Cellular differentiation; Stem cell; Cell biology; Intestinal epithelium; Epithelium; Computational biology; Genetics; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001941824,0.0001438443,0.0002340348,0.0000781178,0.00004820056,0.00001007797,0.00007223123,0.00017962,0.00001480868],"category_scores_gemma":[0.00009295116,0.0001405433,0.00003827809,0.0001248499,0.00008147395,0.000003164914,0.00007641275,0.00007319019,8.807183e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001355541,"about_ca_system_score_gemma":0.0001046221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001590418,"about_ca_topic_score_gemma":0.00001898606,"domain_scores_codex":[0.9989089,0.0001843921,0.0003267791,0.000327627,0.00005381606,0.0001984642],"domain_scores_gemma":[0.9996399,0.00003893322,0.000108094,0.00008463588,0.00007488551,0.00005357944],"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":[0.00004972142,0.00003665765,0.268502,0.00001709497,0.00002803486,0.000002203044,0.00004372764,0.00007337765,0.724458,0.000005759075,0.00003810428,0.006745254],"study_design_scores_gemma":[0.001086996,0.0001251676,0.05729548,0.00001677918,0.00001749827,0.00001028334,0.0002396539,0.004089331,0.9360909,0.0003737048,0.0004843042,0.00016984],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6177499,0.00317268,0.378615,0.00001842328,0.0001427526,0.00007912961,0.00001974398,0.000008771432,0.0001936008],"genre_scores_gemma":[0.8624032,0.0005306082,0.1367023,0.00004433567,0.00002847722,0.000008593799,0.000216687,0.00001015878,0.00005568956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2446533,"threshold_uncertainty_score":0.5731191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007050241112185644,"score_gpt":0.2385279172362347,"score_spread":0.2314776761240491,"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."}}