{"id":"W4321116366","doi":"10.1016/j.stemcr.2023.01.008","title":"In silico discovery of small molecules for efficient stem cell differentiation into definitive endoderm","year":2023,"lang":"en","type":"article","venue":"Stem Cell Reports","topic":"Pluripotent Stem Cells Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia Hospital; Canada's Michael Smith Genome Sciences Centre; BC Children's Hospital; University of British Columbia","funders":"Breakthrough T1D Canada; National Institute of Mental Health; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; BC Children's Hospital; Michael Smith Health Research BC; BC Children’s Hospital Foundation; Manpei Suzuki Diabetes Foundation; University of British Columbia; Stem Cell Network; National Institutes of Health; Children's Hospital Foundation; Juvenile Diabetes Research Foundation Canada; Juvenile Diabetes Research Foundation United States of America","keywords":"Endoderm; Biology; In silico; Stem cell; Embryonic stem cell; Cellular differentiation; Computational biology; Regenerative medicine; Cell biology; Genetics; Gene","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":[0.00050223,0.0008373241,0.0009908373,0.0005171655,0.0002243789,0.0007690504,0.000454891,0.0005344715,0.002516718],"category_scores_gemma":[0.0008638102,0.0003218428,0.0009509297,0.0003356823,0.0001892745,0.0004069356,0.0002956449,0.0005769191,0.0007825986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003417266,"about_ca_system_score_gemma":0.0009145191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004005072,"about_ca_topic_score_gemma":0.00117457,"domain_scores_codex":[0.9998322,0.00004242875,0.00001021368,0.0000353965,0.0000577342,0.00002200289],"domain_scores_gemma":[0.9997712,0.0001483869,0.00002748143,0.00001233137,0.00002406355,0.00001652638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001050522,0.0004836151,0.004871354,0.002312569,0.0003991931,0.001116527,0.00006715685,0.3250352,0.593859,0.01096511,0.002356138,0.05748371],"study_design_scores_gemma":[0.0003115485,0.001741568,0.001170762,0.00008010443,0.000507807,0.0003732236,0.00005808706,0.616693,0.3611734,0.003144899,0.01468246,0.00006318316],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5382394,0.005250765,0.4392268,0.0006230177,0.0001942746,0.0006974936,0.003118623,0.002047179,0.01060257],"genre_scores_gemma":[0.7274393,0.004899094,0.2595013,0.0002448334,0.00003146462,0.000637479,0.003607652,0.0002408427,0.003398029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002516718,"threshold_uncertainty_score":0.008419275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01657775349217143,"score_gpt":0.2519524318769025,"score_spread":0.235374678384731,"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."}}