{"id":"W4200090147","doi":"10.1002/dev.22222","title":"Cumulative risks predict epigenetic age in adult survivors of extremely low birth weight","year":2021,"lang":"en","type":"article","venue":"Developmental Psychobiology","topic":"Birth, Development, and Health","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; McMaster University","funders":"Canadian Institutes of Health Research; Ontario Ministry of Research, Innovation and Science","keywords":"dNaM; Epigenetics; DNA methylation; Low birth weight; Body mass index; CpG site; Biological age; Birth weight; Young adult; Medicine; Physiology; Internal medicine; Biology; Gerontology; Genetics; Pregnancy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003381442,0.0003089499,0.0007443508,0.000306271,0.00006974718,0.000006038269,0.0001539601,0.0003192662,0.0007956001],"category_scores_gemma":[0.0001159013,0.0002834725,0.00009720742,0.0006507415,0.0002248025,0.00004981728,0.00008730746,0.0003872124,0.0001092946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002223683,"about_ca_system_score_gemma":0.00087741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000383877,"about_ca_topic_score_gemma":0.004277944,"domain_scores_codex":[0.9973411,0.0002063507,0.0009494476,0.0006567024,0.0002352125,0.0006111749],"domain_scores_gemma":[0.9989781,0.0001073589,0.0002115008,0.0002711117,0.0002036719,0.0002282719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004836933,0.0006441902,0.9695306,0.0003406509,0.0001738839,0.0003738944,0.002987911,0.000002063369,0.01402912,0.002699751,0.0009577892,0.007776395],"study_design_scores_gemma":[0.003594963,0.0002196194,0.9761457,0.0003375434,0.00001683554,0.0001633515,0.000766809,0.00002092891,0.01359999,0.002386228,0.002444343,0.0003036312],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9783881,0.0005792741,0.0001678916,0.0004551847,0.000789679,0.0005045668,0.00004379545,0.00004952419,0.019022],"genre_scores_gemma":[0.9769422,0.01215896,0.00845637,0.001470745,0.00007931689,0.00004616902,0.0003511369,0.00003777338,0.0004573023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0185647,"threshold_uncertainty_score":0.9999617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04734232931758744,"score_gpt":0.3277258737787594,"score_spread":0.280383544461172,"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."}}