{"id":"W4407189556","doi":"10.1038/s43587-025-00812-6","title":"Recommendations for implementing the Hevolution Alliance for Aging Biomarkers initiative","year":2025,"lang":"en","type":"article","venue":"Nature Aging","topic":"Frailty in Older Adults","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Alliance; Aging in place; Political science; Psychology; Gerontology; Medicine","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":[0.0005458816,0.0001172309,0.0001440155,0.00009357731,0.0004530304,0.00003591115,0.0001173393,0.0001004523,0.00001389645],"category_scores_gemma":[0.0007375321,0.0000936523,0.0001109866,0.0003293259,0.00003361644,0.000121199,0.00004979038,0.0003291578,0.000001333472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001673344,"about_ca_system_score_gemma":0.00009834158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001379407,"about_ca_topic_score_gemma":0.00005945957,"domain_scores_codex":[0.999056,0.00002923393,0.0002310155,0.0002499018,0.0001036569,0.0003301268],"domain_scores_gemma":[0.9986619,0.0007480479,0.0001041838,0.0002100297,0.0002465901,0.00002928225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001794306,0.00008464449,0.01072722,0.0008077573,0.0009375685,0.000002325701,0.002868819,0.00001107232,0.005924777,0.01469049,0.7196869,0.2440789],"study_design_scores_gemma":[0.003798013,0.00006927039,0.01318822,0.00146703,0.0003591358,0.000008606748,0.003881463,0.007277688,0.01015695,0.005598044,0.9539714,0.0002241759],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01132291,0.007610587,0.2325025,0.7267901,0.003189221,0.006501014,0.000294936,0.0003797997,0.01140898],"genre_scores_gemma":[0.9447489,0.00006236501,0.03946649,0.01262544,0.0003991058,0.0004838945,0.0003796137,0.0000275547,0.001806633],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.933426,"threshold_uncertainty_score":0.381903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03932457971335716,"score_gpt":0.3785721269878268,"score_spread":0.3392475472744697,"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."}}