{"id":"W4308705852","doi":"10.21203/rs.3.rs-301720/v1","title":"Cellular population dynamics shape the route to human pluripotency","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Pluripotent Stem Cells Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"ShanghaiTech University; Fondazione Telethon; Università degli Studi di Padova; Oak Foundation; National Natural Science Foundation of China; Ministero dell’Istruzione, dell’Università e della Ricerca; Giovanni Armenise-Harvard Foundation","keywords":"Dynamics (music); Population; Computer science; Physics; Demography; Sociology","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":[0.00007366598,0.00006673625,0.0000860992,0.0001715603,0.0001110145,0.0004393181,0.00007207067,0.0001239423,0.001840798],"category_scores_gemma":[0.0001874843,0.0001119099,0.00007783421,0.0001241942,0.0001407143,0.0002041529,0.0001695261,0.0001888115,0.0003299498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002937524,"about_ca_system_score_gemma":0.0001581256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004361121,"about_ca_topic_score_gemma":0.0003762896,"domain_scores_codex":[0.9999621,0.000003965201,0.000001484893,0.00001438016,0.00001174072,0.000006487813],"domain_scores_gemma":[0.9999399,0.00001848875,0.00001347479,0.00000546117,0.00001134935,0.00001133325],"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":[0.00008983653,0.00001603676,0.004774669,0.00004064043,0.000009547753,0.0001233243,0.0001150288,0.005358891,0.9645908,0.009828049,0.000583102,0.01447018],"study_design_scores_gemma":[0.00004145045,0.0001748384,0.0449218,0.00002221198,0.00003798679,0.0006602815,0.0002765727,0.1065015,0.8107954,0.01581184,0.02072538,0.00003057516],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9651225,0.0006063251,0.02823767,0.0001875005,0.00002750787,0.00001165492,0.0003571894,0.0001453753,0.005304175],"genre_scores_gemma":[0.9963577,0.0001507935,0.00186765,0.00002292538,0.000007491712,0.000006680834,0.00009072336,0.00001903443,0.001476953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001840798,"threshold_uncertainty_score":0.006158113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04056228196022612,"score_gpt":0.3703377156007735,"score_spread":0.3297754336405474,"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."}}