{"id":"W2902250291","doi":"10.1111/ggi.13555","title":"Association of dynapenia, obesity and chronic diseases with all‐cause mortality of community‐dwelling older adults: A path analysis","year":2018,"lang":"en","type":"article","venue":"Geriatrics and gerontology international/Geriatrics & gerontology international","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; AGE-WELL","keywords":"Medicine; Waist; Obesity; Path analysis (statistics); Gerontology; Sarcopenia; Circumference; Body mass index; Demography; Internal medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008722243,0.0003305461,0.0009723338,0.0009382745,0.0002028657,0.00003850884,0.0003675411,0.0003927219,0.0004856075],"category_scores_gemma":[0.0003959959,0.0003165372,0.0001934095,0.0005003099,0.0004450872,0.0002380042,0.0002082332,0.0004800437,0.00000409123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004602118,"about_ca_system_score_gemma":0.0002173892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00112613,"about_ca_topic_score_gemma":0.003039346,"domain_scores_codex":[0.9969764,0.0002973685,0.001135403,0.0005008542,0.0006613061,0.0004286458],"domain_scores_gemma":[0.9958347,0.0005658809,0.001311154,0.0004140099,0.001645774,0.0002284794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001093797,0.0009374572,0.9826768,0.000311917,0.007073219,0.00002744568,0.001871719,0.0000126496,0.0002223004,0.002974975,0.0008009319,0.001996807],"study_design_scores_gemma":[0.005916398,0.0008867814,0.981242,0.0001078166,0.003933595,0.0001326804,0.0007941147,0.003899457,0.0001650863,0.0006657444,0.001922711,0.0003336247],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986237,0.001691083,0.005734854,0.003643379,0.001080679,0.0004393218,0.0003579132,0.00005486342,0.0007609308],"genre_scores_gemma":[0.9932068,0.00228739,0.002695412,0.000476908,0.0004852157,0.00004219768,0.0005551041,0.00002451604,0.000226486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006969796,"threshold_uncertainty_score":0.9999287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02994751234844487,"score_gpt":0.3418484641614303,"score_spread":0.3119009518129855,"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."}}