{"id":"W4294119740","doi":"10.1016/j.stem.2022.08.001","title":"Modeling human extraembryonic mesoderm cells using naive pluripotent stem cells","year":2022,"lang":"en","type":"article","venue":"Cell stem cell","topic":"Pluripotent Stem Cells Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"European Research Council; Horizon 2020 Framework Programme; Horizon 2020; KU Leuven; Fonds Wetenschappelijk Onderzoek; European Resuscitation Council; Österreichischen Akademie der Wissenschaften; H2020 European Research Council; Agence Nationale de la Recherche","keywords":"Mesoderm; Biology; Epiblast; Gastrulation; Cell biology; Somitogenesis; Germ layer; NODAL; Induced pluripotent stem cell; Nodal signaling; Ectoderm; Transcriptome; Brachyury; Embryoid body; Embryonic stem cell; Embryogenesis; Embryo; Genetics; Gene expression; Somite; 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":[0.0001097424,0.0002522514,0.00013669,0.00008842915,0.0001082584,0.0002563814,0.0003155891,0.000340139,0.001213161],"category_scores_gemma":[0.0001512851,0.0001604098,0.0002772395,0.00007517097,0.0001441952,0.0001366052,0.0002004553,0.0002501119,0.0002352798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002003106,"about_ca_system_score_gemma":0.0002596886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001603067,"about_ca_topic_score_gemma":0.001249158,"domain_scores_codex":[0.9999466,0.00000992576,0.000003289644,0.00001278462,0.00002204654,0.000005302868],"domain_scores_gemma":[0.9999698,0.00001019686,0.000005990241,0.000005736636,0.000004853308,0.000003415201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006048456,0.00005952242,0.003021485,0.0001841157,0.00003762677,0.0004998087,0.0001411609,0.5684005,0.4035912,0.009052278,0.0004597275,0.0144921],"study_design_scores_gemma":[0.00002371199,0.000230956,0.001423619,0.0000150248,0.00003311522,0.0003375959,0.0000562626,0.8420138,0.1442328,0.001972343,0.009645466,0.00001516524],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6654172,0.000719057,0.3205945,0.0002165643,0.0001074335,0.0001576926,0.0009933326,0.0004235657,0.01137069],"genre_scores_gemma":[0.9149344,0.000763714,0.07875147,0.00005066808,0.00001179023,0.0001048707,0.0004894701,0.00004033198,0.004853369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001603067,"threshold_uncertainty_score":0.004058421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02931196505841079,"score_gpt":0.2577174244419281,"score_spread":0.2284054593835173,"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."}}