{"id":"W2982600858","doi":"10.1126/scitranslmed.aax1977","title":"More random motor activity fluctuations predict incident frailty, disability, and mortality","year":2019,"lang":"en","type":"article","venue":"Science Translational Medicine","topic":"Heart Rate Variability and Autonomic Control","field":"Medicine","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre","funders":"National Institute of Neurological Disorders and Stroke; National Institute of General Medical Sciences; National Institute on Aging; National Institutes of Health; China Postdoctoral Science Foundation","keywords":"Medicine; Physical medicine and rehabilitation; Gerontology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002059404,0.0001634087,0.0004194989,0.0001164685,0.0002038454,0.00002178193,0.000134103,0.00005931205,0.001177878],"category_scores_gemma":[0.0004625536,0.0001211707,0.00006698784,0.0003951408,0.002359712,0.0004251939,0.00003301901,0.0002380293,0.00002920032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001080368,"about_ca_system_score_gemma":0.0005886236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003080783,"about_ca_topic_score_gemma":0.00005564706,"domain_scores_codex":[0.9977798,0.00006038672,0.00037794,0.000548971,0.0009430363,0.0002899074],"domain_scores_gemma":[0.9985554,0.0004675496,0.00006673937,0.0004170621,0.0001684177,0.0003248416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002245164,0.0002366971,0.5970671,0.0001272092,0.00004462889,0.000002552887,0.001342947,0.00009298373,0.3856465,0.001834259,0.00001518074,0.0133654],"study_design_scores_gemma":[0.003976071,0.0002037286,0.9674257,0.00007197371,0.00008370221,0.00001522779,0.00009345512,0.02492256,0.0005682131,0.002062746,0.0004699421,0.0001066854],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9674487,0.00007697206,0.001718817,0.02790676,0.0002996784,0.00122931,0.00003647712,0.00005780873,0.001225536],"genre_scores_gemma":[0.9987847,0.00001041536,0.0003029298,0.0004236052,0.0002343253,0.00003067832,0.00001943356,0.000007658109,0.0001862192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3850783,"threshold_uncertainty_score":0.9997352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03102709065995819,"score_gpt":0.3359699834491336,"score_spread":0.3049428927891754,"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."}}