{"id":"W2900143204","doi":"10.1093/geroni/igy023.2661","title":"LOW MUSCLE MASS AND LOW MUSCLE STRENGTH FOR THE PREDICTION OF ADVERSE OUTCOMES AMONG COMMUNITY-DWELLING OLDER PEOPLE","year":2018,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Aging","funders":"","keywords":"Bioelectrical impedance analysis; Sarcopenia; Medicine; Hazard ratio; Quartile; Proportional hazards model; Grip strength; Cohort; Internal medicine; Preferred walking speed; Confidence interval; Body mass index; Physical therapy","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":[0.003822738,0.001100628,0.0008098172,0.001070615,0.0004140344,0.0008918062,0.0009003318,0.001187401,0.001517303],"category_scores_gemma":[0.005484354,0.0005484962,0.00123562,0.0009292047,0.0003218076,0.0005663019,0.000954961,0.001771491,0.000414656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002088112,"about_ca_system_score_gemma":0.0004334503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003677413,"about_ca_topic_score_gemma":0.004604851,"domain_scores_codex":[0.9988278,0.0006770641,0.00007819859,0.0001492439,0.0001591176,0.0001086295],"domain_scores_gemma":[0.9966391,0.001135256,0.001002665,0.0003080002,0.0002601864,0.0006548162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007725171,0.00006576861,0.9969073,0.0000191132,0.0002149212,0.000047478,0.00002425882,0.00007573979,0.0001089404,0.00001009116,0.00009456916,0.001659282],"study_design_scores_gemma":[0.00005894356,0.0003351717,0.9970115,0.00001995069,0.0002791738,0.0001053735,0.00005146025,0.00186124,0.00006264686,0.00008718126,0.0001185277,0.000008804852],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971257,0.001700782,0.000319825,0.0001498188,0.00004151646,0.00002249337,0.0002876497,0.00001451345,0.0003376422],"genre_scores_gemma":[0.9983301,0.0004794945,0.0004082233,0.00004371791,0.0001219042,0.00002736246,0.0003272602,0.000004148955,0.0002579048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003822738,"threshold_uncertainty_score":0.02021682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03897974637868493,"score_gpt":0.3237777498915705,"score_spread":0.2847980035128855,"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."}}