{"id":"W4405898256","doi":"10.1101/2024.12.29.629346","title":"Epigenetic Disordering Drives Stemness, Senescence Escape and Tumor Heterogeneity","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health; Tamkeen; York University; New York University Abu Dhabi","keywords":"Biology; Epigenetics; Senescence; Epigenome; Cancer research; DNA methylation; Cancer; Population; Cancer cell; Cell biology; Zebrafish; Cancer stem cell; Cell cycle; Stem cell; Genetics; Gene expression; Gene; Medicine","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":[0.0001254437,0.0001359679,0.0001835061,0.0001882243,0.0001713966,0.0003345693,0.0001199418,0.0002245767,0.001360548],"category_scores_gemma":[0.0001782711,0.0001493917,0.0001615433,0.0001189952,0.0002924429,0.0001984478,0.0004067984,0.0004090842,0.0002958623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004548383,"about_ca_system_score_gemma":0.000243761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007429987,"about_ca_topic_score_gemma":0.001643275,"domain_scores_codex":[0.9998875,0.00001036463,0.00000676703,0.00003340271,0.00003519128,0.00002679237],"domain_scores_gemma":[0.9998457,0.00001898687,0.00005802826,0.000028442,0.00001365219,0.00003504761],"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":[0.0000353628,0.000004851173,0.001293552,0.00001289541,0.000003214145,0.00005176081,0.00001533743,0.0001120116,0.9963827,0.0004975451,0.00006564579,0.001525093],"study_design_scores_gemma":[0.00001681444,0.0001371943,0.03449337,0.000006305037,0.00001356278,0.0005752278,0.00006140481,0.002483209,0.9557627,0.000826025,0.005616137,0.000007991206],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924961,0.000747661,0.003873307,0.00013105,0.0000134559,0.00001475107,0.0002383896,0.0001294625,0.002355789],"genre_scores_gemma":[0.9969504,0.0002155338,0.0006794378,0.000034097,0.000006974076,0.000008645161,0.0001848923,0.0000254581,0.001894483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001360548,"threshold_uncertainty_score":0.00455147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009328994971239195,"score_gpt":0.2270599901975996,"score_spread":0.2177309952263604,"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."}}