{"id":"W4214772954","doi":"10.1093/geroni/igz038.325","title":"THE PROBLEM OF INTEGRATING OF BIOLOGICAL AND CLINICAL MARKERS OF AGEING","year":2019,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Ageing; Biological age; Gompertz function; Frailty Index; Computer science; Computational biology; Biology; Gerontology; Medicine; Machine learning; 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":[0.03652538,0.0008540045,0.002252841,0.003611336,0.001152069,0.006512548,0.002655005,0.003348136,0.001832228],"category_scores_gemma":[0.1355027,0.0008249854,0.0009971291,0.003180111,0.00570124,0.0101263,0.006675388,0.004957621,0.0005421751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002588847,"about_ca_system_score_gemma":0.002178525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004324269,"about_ca_topic_score_gemma":0.001136123,"domain_scores_codex":[0.9696407,0.01720577,0.002666958,0.005464714,0.004397357,0.0006244248],"domain_scores_gemma":[0.8841023,0.08052658,0.008872959,0.01133885,0.01340551,0.001753803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004268451,0.0002012407,0.06992062,0.001183939,0.0009243639,0.0006165353,0.001840572,0.01862844,0.002480739,0.4608618,0.01134146,0.4315734],"study_design_scores_gemma":[0.0000414194,0.0001544443,0.01912273,0.0004312992,0.0001757794,0.0006308093,0.0007190639,0.05571279,0.000920745,0.9098016,0.01218469,0.0001046794],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1054255,0.02264393,0.7844493,0.06558488,0.00164625,0.0002251416,0.001907626,0.0006579252,0.01745946],"genre_scores_gemma":[0.7870179,0.003795116,0.1988118,0.004721447,0.002087228,0.0004181959,0.0008079454,0.0001322132,0.002208251],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03652538,"threshold_uncertainty_score":0.193167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03280803453609306,"score_gpt":0.3211522192360538,"score_spread":0.2883441846999608,"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."}}