{"id":"W2809334224","doi":"10.1093/gerona/gly136","title":"“Physiological Dysregulation” as a Promising Measure of Robustness and Resilience in Studies of Aging and a New Indicator of Preclinical Disease","year":2018,"lang":"en","type":"article","venue":"The Journals of Gerontology Series A","topic":"Frailty in Older Adults","field":"Medicine","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute on Aging; National Institutes of Health","keywords":"Biomarker; Robustness (evolution); Disease; Healthy aging; Proxy (statistics); Medicine; Psychological resilience; Gerontology; Bioinformatics; Psychology; Biology; Internal medicine; Computer science; Genetics","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":[0.007030688,0.0008045876,0.0006146421,0.003522185,0.0005237982,0.00128199,0.0007336134,0.000523951,0.001064],"category_scores_gemma":[0.01400573,0.0001785481,0.001119764,0.002449938,0.001372244,0.001024793,0.001894876,0.001280529,0.0001436868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005955853,"about_ca_system_score_gemma":0.0006346983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001707055,"about_ca_topic_score_gemma":0.002665176,"domain_scores_codex":[0.9966037,0.00204812,0.0003246713,0.0006175951,0.0003317244,0.00007417452],"domain_scores_gemma":[0.9910634,0.004607077,0.002342792,0.001217089,0.0004558812,0.0003138235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007520894,0.0002371769,0.8824989,0.0005551783,0.002234773,0.0001860423,0.001188712,0.01007217,0.01006991,0.009134589,0.001358482,0.08171213],"study_design_scores_gemma":[0.00003231269,0.00147902,0.9511734,0.0001186816,0.000385743,0.0005354798,0.0007226145,0.01873307,0.004850044,0.01703804,0.004825702,0.0001058583],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7736013,0.003337291,0.2124528,0.001116049,0.000314284,0.0004197544,0.004043732,0.0002951892,0.004419593],"genre_scores_gemma":[0.9556808,0.0004394303,0.04179586,0.0002007248,0.0001093453,0.0002829369,0.001033873,0.00002541229,0.0004316088],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.007030688,"threshold_uncertainty_score":0.03718221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1456470440394851,"score_gpt":0.4092585640418377,"score_spread":0.2636115200023527,"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."}}