{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001742372,0.0001173077,0.0001181495,0.00009471572,0.0002166201,0.0000350328,0.0001860497,0.00009151691,5.6104e-7],"category_scores_gemma":[0.00002453834,0.00007926884,0.00002721207,0.0001549049,0.0004090585,0.000005318186,0.0004702511,0.00007949322,1.280058e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000538607,"about_ca_system_score_gemma":0.00001081837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000181975,"about_ca_topic_score_gemma":0.000050127,"domain_scores_codex":[0.9991114,0.00005840366,0.0001395561,0.000407402,0.00007122837,0.0002119767],"domain_scores_gemma":[0.9996371,0.00001431636,0.00005351975,0.000244392,0.00001904689,0.00003157299],"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":[0.00001053852,0.00001484493,0.06019681,0.00003080877,0.000003770284,0.000001811613,0.00007680804,0.00001594774,0.9391294,8.378454e-7,0.000003915667,0.0005145174],"study_design_scores_gemma":[0.0001950784,0.0000415591,0.07949538,0.00004050486,0.000004208521,0.000004209756,0.0002003506,0.00004474428,0.9197775,0.00003089797,0.00008044206,0.00008513233],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954261,0.003763375,0.0004730205,0.0001034944,0.00009486139,0.0001057957,0.00001198443,0.000007804295,0.00001356989],"genre_scores_gemma":[0.9950339,0.004369446,0.0004367933,0.00009187114,0.00002325397,0.00001223622,0.000003269446,0.000004029721,0.00002523895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0193519,"threshold_uncertainty_score":0.323249,"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."}}