{"id":"W4414306964","doi":"10.1101/2025.09.08.674588","title":"Guided multi-agent AI invents highly accurate, uncertainty-aware transcriptomic aging clocks","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Aging","funders":"","keywords":"Scalability; Set (abstract data type); Transcriptome; Computation; Point (geometry)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004823731,0.001055941,0.0008414504,0.0003021993,0.0002967,0.0002666151,0.001262056,0.001292666,0.00002641155],"category_scores_gemma":[0.0001235284,0.001176085,0.0005336186,0.0003814909,0.0001799383,0.00001857518,0.0005472749,0.00105134,0.00002681812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002877246,"about_ca_system_score_gemma":0.001268207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002704366,"about_ca_topic_score_gemma":0.00006318605,"domain_scores_codex":[0.9955484,0.0002576809,0.001008569,0.001838613,0.000398519,0.0009481791],"domain_scores_gemma":[0.9966987,0.00001862565,0.0003873527,0.001813665,0.0006861803,0.000395475],"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":[0.00007296153,0.0003310349,0.007052776,0.0006636942,0.000479266,0.00003625338,0.00001873431,0.001893997,0.9866301,0.00004839323,0.002764636,0.000008165101],"study_design_scores_gemma":[0.00279838,0.0001238835,0.01019321,0.0008647186,0.0003539337,7.035661e-8,0.000007322761,0.003976755,0.9394556,0.000002286351,0.04032951,0.001894336],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9621734,0.002777297,0.02698414,0.0004983598,0.00459525,0.001392821,0.001208266,0.0003475679,0.00002290013],"genre_scores_gemma":[0.9934337,0.001251839,0.002116563,0.001923261,0.0006994201,0.0002484194,0.00002074656,0.0001714823,0.0001345439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04717449,"threshold_uncertainty_score":0.9990689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02448195359882546,"score_gpt":0.2585826842839789,"score_spread":0.2341007306851534,"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."}}