{"id":"W4404164312","doi":"10.1186/s13073-024-01403-7","title":"Exploring multi-omics and clinical characteristics linked to accelerated biological aging in Asian women of reproductive age: insights from the S-PRESTO study","year":2024,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Douglas Mental Health University Institute","funders":"Precursory Research for Embryonic Science and Technology; National Research Foundation Singapore; National Medical Research Council; Medical Research Council; National University Health System; National Research Foundation","keywords":"Omics; Human genetics; Reproductive medicine; Reproductive biology; Healthy aging; Gerontology; Medicine; Bioinformatics; Proteomics; Systems biology; Computational biology; Biology; Physiology; Genetics; Pregnancy","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":[0.001319534,0.0007285665,0.0005505348,0.0008737189,0.0009265962,0.001006974,0.0004644702,0.0004724048,0.00176007],"category_scores_gemma":[0.001571589,0.0002357356,0.001293897,0.001550244,0.0002547598,0.0003433062,0.001481199,0.0006484641,0.0003084551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003762953,"about_ca_system_score_gemma":0.001046855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0187396,"about_ca_topic_score_gemma":0.03445433,"domain_scores_codex":[0.9996133,0.0001172572,0.00003680294,0.0001179797,0.00004082196,0.00007378604],"domain_scores_gemma":[0.9991835,0.00009933325,0.0002046021,0.0001401971,0.0001873676,0.0001850078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005532863,0.00008667177,0.9848663,0.0001472244,0.0009191381,0.000347456,0.0005418294,0.00007416894,0.001428101,0.0001620969,0.00187041,0.009003333],"study_design_scores_gemma":[0.00003232665,0.0001455239,0.9948447,0.00005943292,0.000628788,0.0002822375,0.0007073265,0.0001882035,0.0001683664,0.000186768,0.002740602,0.00001579469],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988443,0.001906103,0.0006677773,0.0004723406,0.0000470511,0.0001121725,0.006841828,0.00002246981,0.001487292],"genre_scores_gemma":[0.9888343,0.001107193,0.001614916,0.0005431264,0.00008233278,0.0002051514,0.006433841,0.00002985954,0.001149256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0187396,"threshold_uncertainty_score":0.03726107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1910634024449355,"score_gpt":0.3662531091678917,"score_spread":0.1751897067229561,"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."}}