{"id":"W3044734880","doi":"10.1101/2020.07.23.217414","title":"A semi-automated organoid screening method demonstrates epigenetic control of intestinal epithelial differentiation","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"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; Intestinal epithelium; Epithelium; Cell biology; Cellular differentiation; Computational biology; Stem cell; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006415625,0.0005975455,0.0004546042,0.0008846291,0.0003149963,0.0004330678,0.0004440245,0.0004731901,0.002048104],"category_scores_gemma":[0.0004666052,0.0002970613,0.0004402242,0.0004332991,0.0004180932,0.000218949,0.0005797349,0.0006660149,0.001065442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003458505,"about_ca_system_score_gemma":0.0003483911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008371634,"about_ca_topic_score_gemma":0.001727236,"domain_scores_codex":[0.9992473,0.0001436253,0.0000454019,0.0002273446,0.0002617577,0.00007465795],"domain_scores_gemma":[0.9993838,0.0002356461,0.0001030275,0.0001160523,0.0001009008,0.00006054785],"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":[0.00002096296,0.000006473518,0.0001184145,0.00001464253,0.000004306436,0.00001854829,0.000009989844,0.0001144193,0.9976522,0.00006015805,0.00004787956,0.00193209],"study_design_scores_gemma":[0.000004604504,0.000053893,0.001296513,0.000003021897,0.000009275886,0.00007580261,0.000008219719,0.001893869,0.9953393,0.00005184218,0.001254092,0.000009592365],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3593853,0.001353472,0.6288692,0.0002480382,0.0001018455,0.0003878115,0.002340643,0.003097648,0.004216088],"genre_scores_gemma":[0.5875707,0.001099461,0.3977215,0.0002781368,0.00002355977,0.0007714817,0.002969162,0.0005709381,0.008994946],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002048104,"threshold_uncertainty_score":0.006851614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01293803228806399,"score_gpt":0.2454281285480673,"score_spread":0.2324900962600034,"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."}}