{"id":"W2992061576","doi":"10.1371/journal.pcbi.1007543","title":"Automated minute scale RNA-seq of pluripotent stem cell differentiation reveals early divergence of human and mouse gene expression kinetics","year":2019,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Pluripotent Stem Cells Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; U.S. National Library of Medicine; National Institute of General Medical Sciences; National Institute of Allergy and Infectious Diseases; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Induced pluripotent stem cell; Biology; Transcriptome; Stem cell; Cellular differentiation; Gene expression; Cell biology; Embryonic stem cell; Gene; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003394511,0.0001344531,0.0002499529,0.0002137546,0.00009303036,0.0003491675,0.0001799774,0.00017456,0.0006053367],"category_scores_gemma":[0.0005007729,0.0001356458,0.0002604825,0.000297182,0.0001667438,0.0001284375,0.0001705349,0.0002543685,0.00021033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002092056,"about_ca_system_score_gemma":0.0001792878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008178724,"about_ca_topic_score_gemma":0.00195373,"domain_scores_codex":[0.9998268,0.00001696048,0.00000881215,0.00007556529,0.00005256946,0.0000192282],"domain_scores_gemma":[0.9998024,0.0001004322,0.00002851475,0.00002174317,0.00003004394,0.00001688184],"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":[0.0001794283,0.00001311581,0.0070316,0.00008499892,0.00003476896,0.00003248687,0.0001252568,0.003352591,0.9776415,0.0005779816,0.0002239722,0.01070226],"study_design_scores_gemma":[0.0000219844,0.000200839,0.1668966,0.00001987891,0.00007459872,0.0001570849,0.0001643839,0.05313722,0.7713105,0.001180038,0.006789347,0.00004768029],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.961096,0.0003778805,0.03353454,0.00004241385,0.00001879147,0.00001836948,0.003414697,0.0004658008,0.001031573],"genre_scores_gemma":[0.9664971,0.0002997726,0.02524387,0.00009164984,0.000007650203,0.00007615652,0.006357753,0.0002132616,0.001212845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008178724,"threshold_uncertainty_score":0.002025068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01505304834428468,"score_gpt":0.2502235660887088,"score_spread":0.2351705177444241,"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."}}