{"id":"W37670768","doi":"10.1016/j.stem.2014.05.011","title":"Stem Cell Epigenetics: Looking Forward","year":2014,"lang":"en","type":"article","venue":"Cell stem cell","topic":"Mesenchymal stem cell research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute for Biological Sciences","funders":"","keywords":"Biology; Epigenetics; Stem cell; Epigenesis; Computational biology; Epigenomics; Cell biology; DNA methylation; Genetics; Bioinformatics; Evolutionary biology; Neuroscience; Gene; Gene expression","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001237338,0.0005411019,0.0008408935,0.0002903044,0.0002517234,0.0001182521,0.0005976713,0.0003871506,0.001110211],"category_scores_gemma":[0.0000103062,0.0004858864,0.0003552243,0.0004565961,0.0001420089,0.00009636513,0.0003455485,0.0007407425,0.004930997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002590761,"about_ca_system_score_gemma":0.0002277452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007679636,"about_ca_topic_score_gemma":0.000009761239,"domain_scores_codex":[0.9951519,0.000330424,0.0008211114,0.001013376,0.001309757,0.001373366],"domain_scores_gemma":[0.9966063,0.0004024213,0.0002769615,0.001435441,0.0002894313,0.0009893713],"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":[0.000692162,0.002197058,0.04777503,0.01207564,0.0001443698,0.0006788695,0.00413538,0.0004926024,0.7019492,0.0002291539,0.02982215,0.1998083],"study_design_scores_gemma":[0.003000841,0.001008637,0.001212217,0.0001696467,0.0001275185,0.00002378455,0.001024574,0.002593481,0.7783475,0.00004816184,0.2118285,0.0006151581],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5525663,0.002900737,0.002587077,0.000128463,0.0004829399,0.001040412,0.000006887114,0.0001675401,0.4401197],"genre_scores_gemma":[0.8417196,0.0003101794,0.000726971,0.0002922642,0.0004806521,0.00004726369,0.00002095324,0.0001469371,0.1562552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2891533,"threshold_uncertainty_score":0.9998029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02115276681424768,"score_gpt":0.2638958787585277,"score_spread":0.24274311194428,"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."}}