{"id":"W2028864173","doi":"10.1159/000212155","title":"Concerning the Estimation of Biological Age","year":2009,"lang":"en","type":"article","venue":"Gerontology","topic":"Birth, Development, and Health","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Biological age; Estimation; Index (typography); Statistics; Correlation; Mathematics; Econometrics; Biology; Medicine; Gerontology; Computer science; Economics","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":[0.0001568562,0.00004629966,0.0001722046,0.00001872141,0.00004213973,0.000001388758,0.00004301692,0.00008197468,0.00008663327],"category_scores_gemma":[0.00007482649,0.00002674179,0.0000222556,0.00003654395,0.00008686968,0.00001081818,0.000006745044,0.00009563004,0.00001815941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002152803,"about_ca_system_score_gemma":0.00005879439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002465202,"about_ca_topic_score_gemma":0.00001972696,"domain_scores_codex":[0.9995322,0.00003843756,0.0001559729,0.00008694257,0.00005064754,0.0001358332],"domain_scores_gemma":[0.9997396,0.00004522504,0.00006192829,0.000099056,0.00002073271,0.00003344372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004063135,0.0002051031,0.05499565,0.00007836781,0.00005842001,0.0001074249,0.005521652,0.00002218362,0.008553131,0.5616395,0.006012808,0.3623995],"study_design_scores_gemma":[0.0006984391,0.0006132078,0.9797868,0.00002149101,0.00001469146,0.0001046237,0.0001420926,0.0004053001,0.0006315046,0.01591096,0.001620396,0.00005045663],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9684967,0.000483708,0.002795835,0.00630871,0.0001117386,0.0001698659,6.548602e-7,0.00003427766,0.0215985],"genre_scores_gemma":[0.9933924,0.0009065523,0.003230562,0.002377021,0.00004422684,0.000002695899,0.00001031322,0.000001685387,0.00003452522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9247912,"threshold_uncertainty_score":0.1090498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1229910507789692,"score_gpt":0.3696927862685033,"score_spread":0.2467017354895341,"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."}}