{"id":"W2550048284","doi":"10.1103/physreve.94.052409","title":"Network model of human aging: Frailty limits and information measures","year":2016,"lang":"en","type":"article","venue":"Physical review. E","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Exponent; Frailty Index; Approx; Observational study; Mathematics; Upper and lower bounds; Statistics; Mortality rate; Zero (linguistics); Parametric statistics; Combinatorics; Medicine; Gerontology; Computer science; Internal medicine; Mathematical analysis; Philosophy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002709253,0.001180234,0.00118606,0.00151958,0.0006194902,0.001452313,0.002508719,0.001953898,0.003648309],"category_scores_gemma":[0.01093627,0.0004908211,0.001052825,0.00111479,0.001761555,0.003395772,0.001483633,0.002023665,0.0004891329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002182943,"about_ca_system_score_gemma":0.0008448098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01165944,"about_ca_topic_score_gemma":0.006197966,"domain_scores_codex":[0.9990682,0.0003887997,0.0000322851,0.0002471206,0.0001419929,0.0001216106],"domain_scores_gemma":[0.994127,0.003872814,0.0008653288,0.0003313175,0.000513423,0.0002900828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008766381,0.00004124145,0.002218863,0.00007986404,0.00006177174,0.0001779176,0.0001566966,0.8470408,0.0008339296,0.1394926,0.001582027,0.008226608],"study_design_scores_gemma":[0.0000108209,0.00002079142,0.0005902842,0.00001391226,0.00001346729,0.00003905476,0.00001463308,0.945999,0.00009014954,0.05266594,0.0005263002,0.00001557929],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1404524,0.001365138,0.8421796,0.002898536,0.0001505647,0.000137328,0.001773817,0.000411602,0.01063103],"genre_scores_gemma":[0.9314179,0.001773781,0.04934498,0.0005301006,0.0002310605,0.0005102641,0.001139581,0.00009456858,0.01495764],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01165944,"threshold_uncertainty_score":0.02318317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05318043967367154,"score_gpt":0.3243907529471484,"score_spread":0.2712103132734769,"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."}}