{"id":"W4412027403","doi":"10.1007/s11357-025-01769-5","title":"Gene expression and co-expression heterogeneity patterns and biodemography analyses during the cell cycle encourage aging studies in archaea","year":2025,"lang":"en","type":"article","venue":"GeroScience","topic":"Bacterial Genetics and Biotechnology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hôpital Charles-Le Moyne; Canadian Institute for Advanced Research; Université de Montréal; Université de Sherbrooke","funders":"European Research Council; Sorbonne Université; Agence Nationale de la Recherche; European Commission","keywords":"Archaea; Gene expression; Biology; Expression (computer science); Gene; Computational biology; Cell cycle; Genetics; Cell biology; Computer science","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":[0.0001827138,0.0002544326,0.0002696665,0.0005691324,0.0003469439,0.000483157,0.0001946598,0.0003109868,0.0005706049],"category_scores_gemma":[0.0002292119,0.0001443383,0.0002362504,0.0004986689,0.000334615,0.0005418166,0.0003289306,0.0003489837,0.0002714697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002255726,"about_ca_system_score_gemma":0.0001858515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00129428,"about_ca_topic_score_gemma":0.00182207,"domain_scores_codex":[0.9999359,0.000007588259,0.000004905847,0.00002636866,0.00001004602,0.00001531694],"domain_scores_gemma":[0.9998007,0.00003475974,0.00004374116,0.00003211018,0.00004952592,0.00003907441],"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":[0.0001464628,0.0000117848,0.008226472,0.00002976216,0.000005115383,0.00004483387,0.00008465054,0.00005876341,0.9879198,0.0001001085,0.00002083688,0.003351394],"study_design_scores_gemma":[0.000005756395,0.0001953657,0.2928533,0.00001489631,0.00004475978,0.0004699062,0.0007930541,0.001427124,0.7002942,0.0006632429,0.003216153,0.00002218009],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991722,0.001581493,0.00548518,0.0001182211,0.00001465156,0.000009617705,0.0004196358,0.00004506328,0.0006039814],"genre_scores_gemma":[0.9909592,0.001005862,0.005646182,0.00006701737,0.00001801044,0.00001991909,0.0005478893,0.00003590073,0.001700013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00129428,"threshold_uncertainty_score":0.002573431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02399316400133591,"score_gpt":0.3244173919762232,"score_spread":0.3004242279748873,"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."}}