{"id":"W2062596171","doi":"10.1016/j.exger.2014.04.016","title":"Cross-population validation of statistical distance as a measure of physiological dysregulation during aging","year":2014,"lang":"en","type":"article","venue":"Experimental Gerontology","topic":"Frailty in Older Adults","field":"Medicine","cited_by":64,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; National Institute on Aging; National Institutes of Health","keywords":"Biomarker; Measure (data warehouse); Set (abstract data type); Population; Healthy aging; Biology; Computational biology; Statistics; Medicine; Computer science; Gerontology; Data mining; Mathematics; Genetics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001170549,0.0001175273,0.0003472963,0.00004825959,0.0000419756,0.000004528381,0.00005741535,0.0001070536,0.0003024212],"category_scores_gemma":[0.0002215286,0.0001089717,0.00005245394,0.00006176379,0.000194289,0.00009408141,0.00003128976,0.00007981941,0.00000831697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000099631,"about_ca_system_score_gemma":0.00001280232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001360389,"about_ca_topic_score_gemma":0.000007378086,"domain_scores_codex":[0.9988325,0.0001104289,0.0004000065,0.0002447869,0.0002450111,0.0001672475],"domain_scores_gemma":[0.9993966,0.00006995433,0.0001894512,0.0002087782,0.00007823053,0.00005702221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006702396,0.0003330669,0.09146058,0.0001480711,0.0000384889,0.000004283114,0.000931275,0.0001818122,0.896069,0.008493843,0.00002696885,0.001642377],"study_design_scores_gemma":[0.001283255,0.0003799224,0.5585429,0.00005610002,0.000013853,0.00002619022,0.0000890606,0.0006655595,0.4385524,0.0003088029,0.00001186366,0.00007007174],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924254,0.0001473944,0.006041632,0.00006661137,0.0001344359,0.0002220124,0.000006916775,0.00003452475,0.0009210827],"genre_scores_gemma":[0.9971235,0.000001080158,0.002448842,0.00002085304,0.00007498574,0.00001661544,0.0001345429,0.00001213371,0.0001674104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4670823,"threshold_uncertainty_score":0.4443735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03307741837119253,"score_gpt":0.3585232937466791,"score_spread":0.3254458753754865,"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."}}