{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001840155,0.0002723895,0.0002110444,0.0001933805,0.0002105455,0.0003858373,0.000327838,0.0002506119,0.000503914],"category_scores_gemma":[0.0001369204,0.00008255745,0.0001328848,0.0001235267,0.0002569594,0.0002390729,0.0002379137,0.0002677811,0.0002402836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004375746,"about_ca_system_score_gemma":0.0001646068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004238253,"about_ca_topic_score_gemma":0.0005451916,"domain_scores_codex":[0.9999205,0.00000781506,0.000006036741,0.0000245603,0.00002299172,0.00001799384],"domain_scores_gemma":[0.9999292,0.000007618424,0.00002605045,0.000006205477,0.000006538482,0.00002426965],"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":[0.0001435029,0.00001212948,0.0003165034,0.00002735361,0.000003209567,0.00007244747,0.000009986693,0.0001399373,0.9932522,0.0002775573,0.00006475622,0.005680447],"study_design_scores_gemma":[0.00002512778,0.000143865,0.002826387,0.000005945045,0.00001227582,0.0007442874,0.00001747569,0.001439737,0.9826044,0.0002703416,0.0118995,0.00001049423],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9807082,0.007037658,0.009714404,0.0002318905,0.00004332832,0.00003133488,0.000219742,0.000269343,0.001744089],"genre_scores_gemma":[0.9861293,0.00205235,0.008065783,0.00006027218,0.000022722,0.00002249927,0.0002450217,0.00002288263,0.003379142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000503914,"threshold_uncertainty_score":0.003174841,"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."}}