{"id":"W4377011071","doi":"10.1038/s41467-023-37270-w","title":"Cellular population dynamics shape the route to human pluripotency","year":2023,"lang":"en","type":"article","venue":"Nature Communications","topic":"Pluripotent Stem Cells Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"ShanghaiTech University; National Natural Science Foundation of China; Università degli Studi di Padova; Fondazione Telethon; Ministero dell’Istruzione, dell’Università e della Ricerca; Giovanni Armenise-Harvard Foundation","keywords":"Reprogramming; Population; Biology; Context (archaeology); Cell biology; Transcription factor; Computational biology; Transcriptome; Extracellular; Cell; Genetics; Gene expression; 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":[0.00007670736,0.0000746317,0.00008820639,0.0001574381,0.0001272444,0.0004896188,0.00008638993,0.0001334362,0.001098815],"category_scores_gemma":[0.0001845226,0.0001332019,0.00008520411,0.0001139495,0.0001465559,0.0003009134,0.0001976863,0.0002187596,0.0003072119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000309435,"about_ca_system_score_gemma":0.0002125742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004348487,"about_ca_topic_score_gemma":0.0006747681,"domain_scores_codex":[0.999947,0.000006208979,0.000002566862,0.00001799766,0.00001755369,0.000008688794],"domain_scores_gemma":[0.9999419,0.00001600873,0.00001485745,0.000004501014,0.00001229347,0.00001034471],"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":[0.00005656311,0.000007567201,0.003320248,0.00003424176,0.000006171212,0.0000816196,0.0001095586,0.001710588,0.9783563,0.004378602,0.000260436,0.01167808],"study_design_scores_gemma":[0.0000260295,0.000135062,0.04753156,0.00002361192,0.00003949304,0.0005556242,0.000356728,0.02793617,0.8941037,0.005855119,0.02341064,0.00002613733],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9669791,0.001204365,0.02564648,0.0002176248,0.00002233957,0.00001493868,0.00029288,0.0001315461,0.005490516],"genre_scores_gemma":[0.9947262,0.0005624623,0.003148257,0.00004813347,0.00001119802,0.00001210438,0.0001053789,0.00002994084,0.001356327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001098815,"threshold_uncertainty_score":0.003675878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02220822406022333,"score_gpt":0.3250014482040093,"score_spread":0.302793224143786,"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."}}