{"id":"W4413112939","doi":"10.1038/d41586-024-01370-4","title":"How to kill the ‘zombie’ cells that make you age","year":2024,"lang":"en","type":"article","venue":"Nature","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Zombie; Computer science; Computer security","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":[0.0005582814,0.0005251114,0.0005823744,0.0004767685,0.0009003866,0.001417331,0.0004832713,0.001878553,0.007522362],"category_scores_gemma":[0.00121303,0.0002536192,0.0004901644,0.0002360059,0.001611324,0.001907422,0.0006763374,0.003325771,0.003750131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005228262,"about_ca_system_score_gemma":0.001052724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00328207,"about_ca_topic_score_gemma":0.004495122,"domain_scores_codex":[0.9997742,0.00003859077,0.00001135533,0.00003979155,0.0000879276,0.00004813832],"domain_scores_gemma":[0.9996197,0.00005082433,0.00005780087,0.00004974248,0.00012038,0.0001015207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005419597,0.0001713096,0.003716035,0.001436624,0.000227117,0.0007006567,0.0008589482,0.0009506411,0.3037227,0.09091648,0.2761923,0.3205653],"study_design_scores_gemma":[0.00009479807,0.0003502526,0.004387592,0.0003835871,0.000127665,0.002208067,0.0008622642,0.0006187393,0.0409472,0.03761591,0.9123062,0.00009771629],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.08831739,0.3017365,0.07946968,0.4078177,0.03583678,0.0003107796,0.001425538,0.002448661,0.08263701],"genre_scores_gemma":[0.4684986,0.200077,0.07131721,0.07911541,0.00343102,0.000372192,0.0009928506,0.0005302672,0.1756655],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.007522362,"threshold_uncertainty_score":0.02516484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00738714799455692,"score_gpt":0.2304011159203055,"score_spread":0.2230139679257486,"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."}}