{"id":"W4200115235","doi":"10.1080/23723556.2021.1985930","title":"ZNF768: controlling cellular senescence and proliferation with ten fingers","year":2021,"lang":"en","type":"article","venue":"Molecular & Cellular Oncology","topic":"Telomeres, Telomerase, and Senescence","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Hôpital Maisonneuve-Rosemont; Université Laval; Institut universitaire de cardiologie et de pneumologie de Québec","funders":"Fonds de Recherche du Québec - Santé; Fondation Institut Universitaire de Cardiologie et de Pneumologie de Québec; Canadian Cancer Society Research Institute; Canadian Institutes of Health Research; Cancer Research Society","keywords":"Senescence; Cellular senescence; Cell biology; Biology; Transcription factor; Cellular Aging; Cell cycle; Zinc finger; Cell growth; Cell; Oncogene; Cell cycle progression; Malignant transformation; Cancer research; Genetics; Telomere; Gene; Phenotype","routes":{"ca_aff":true,"ca_fund":true,"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"],"consensus_categories":[],"category_scores_codex":[0.0002942352,0.0003087747,0.0006432831,0.0001301951,0.0001668471,0.00005234476,0.00009881811,0.00027322,0.00008622293],"category_scores_gemma":[0.0001513275,0.0002744405,0.0001054403,0.0003464677,0.0002273175,0.00008505117,0.0000657447,0.0003858299,0.00002817626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001288424,"about_ca_system_score_gemma":0.0006056277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003312073,"about_ca_topic_score_gemma":0.00003912376,"domain_scores_codex":[0.9977658,0.0002371776,0.0003901204,0.0007087492,0.0003816409,0.0005164841],"domain_scores_gemma":[0.99867,0.00008780498,0.0001432866,0.0004802298,0.0003166457,0.00030204],"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":[0.0003213274,0.0002186849,0.009566616,0.0001291595,0.000126124,0.009034273,0.0004272473,0.00004199408,0.9754264,0.0003837555,0.00004894867,0.004275438],"study_design_scores_gemma":[0.004155045,0.0009634342,0.001450366,0.0001428381,0.0003711704,0.0009984872,0.0004282348,0.00297,0.9727271,0.00008888936,0.0152975,0.0004069541],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9119961,0.00500132,0.07802107,0.002622615,0.0001827397,0.0006010608,0.000004171349,0.0001069593,0.00146399],"genre_scores_gemma":[0.9880893,0.0001992201,0.00841158,0.002239002,0.000157018,0.0000437364,0.0001078384,0.00005547121,0.000696893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07609317,"threshold_uncertainty_score":0.9999708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009745564468251793,"score_gpt":0.2455048820105444,"score_spread":0.2357593175422926,"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."}}