{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008027448,0.0006077585,0.0005058937,0.0002309434,0.001137732,0.0001248249,0.001236339,0.0002701489,0.0003167828],"category_scores_gemma":[9.466158e-7,0.0006850396,0.0004447956,0.0003426498,0.0001066829,0.00001617526,0.001623423,0.0007103179,0.0001346986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003608123,"about_ca_system_score_gemma":0.0003386714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001372311,"about_ca_topic_score_gemma":0.00001156434,"domain_scores_codex":[0.9948868,0.0005461194,0.0007857542,0.001448419,0.001025661,0.00130727],"domain_scores_gemma":[0.9978415,0.00002875002,0.0002667693,0.001276942,0.0001715453,0.0004145169],"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":[0.00006814586,0.0003018346,0.00003006571,0.0001837211,0.00004247373,0.00007848469,0.0001794693,0.1971592,0.800711,0.000005801508,0.001010647,0.0002291373],"study_design_scores_gemma":[0.001241152,0.0004034134,0.000001917333,0.0000173386,0.00006647858,0.00002996136,0.001312464,0.07675019,0.9050492,0.00001275752,0.01437345,0.0007416754],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826346,0.004842954,0.003957052,0.00002312691,0.0007539847,0.001013394,0.0001188562,0.00007065839,0.006585388],"genre_scores_gemma":[0.9684418,0.0002618349,0.0003520456,0.0001516251,0.0002526762,0.0001021119,0.0001137547,0.0001875356,0.03013654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.120409,"threshold_uncertainty_score":0.9995601,"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."}}