{"id":"W2900293191","doi":"10.1093/geroni/igy023.3115","title":"FRAILTY AND BIOLOGICAL AGE IN ANIMAL MODELS","year":2018,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Bat Biology and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Frailty Index; Gerontology; Biological age; Longevity; Vulnerability (computing); Psychological intervention; Medicine; Healthy aging; Psychiatry","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":[0.002859994,0.001439195,0.001040821,0.002742025,0.0006925549,0.00109543,0.001266381,0.001435894,0.003700231],"category_scores_gemma":[0.001705446,0.0005217315,0.0009042067,0.001058644,0.001200767,0.001234066,0.001299027,0.002802426,0.0009388842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001066405,"about_ca_system_score_gemma":0.0007241684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001776512,"about_ca_topic_score_gemma":0.003189356,"domain_scores_codex":[0.9989516,0.0003733508,0.000111198,0.0002044514,0.0002569063,0.0001025575],"domain_scores_gemma":[0.998599,0.0002586621,0.0003876414,0.0003054689,0.0001851173,0.000264198],"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":[0.007996881,0.00672334,0.02963758,0.004312378,0.001315491,0.001816324,0.001395286,0.01000696,0.7673143,0.04473339,0.01686405,0.107884],"study_design_scores_gemma":[0.00223898,0.04330372,0.1571615,0.003705026,0.003371003,0.008767409,0.001675378,0.04969147,0.2833644,0.1096615,0.3363274,0.0007321896],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6878575,0.07954663,0.1802933,0.005723178,0.002370269,0.00206524,0.01047776,0.001614944,0.03005113],"genre_scores_gemma":[0.7771285,0.06224293,0.1048429,0.002284158,0.0006385589,0.01008133,0.01052802,0.0003065353,0.0319471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003700231,"threshold_uncertainty_score":0.01512527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1040051966163419,"score_gpt":0.2890372523268473,"score_spread":0.1850320557105054,"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."}}