{"id":"W4400958254","doi":"10.20900/agmr20240004","title":"Weakness Status is Differentially Associated with Time to Diabetes in Americans","year":2024,"lang":"en","type":"article","venue":"Advances in Geriatric Medicine and Research","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; University of Ottawa","funders":"National Institute on Aging; National Institutes of Health; Health Resources and Services Administration; Government of Canada; U.S. Department of Health and Human Services","keywords":"Diabetes mellitus; Weakness; Medicine; Gerontology; Psychology; Endocrinology; Surgery","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":[0.0006325102,0.0002433168,0.0003328079,0.0006994762,0.0003060954,0.0006016662,0.0002735967,0.0004561402,0.001526646],"category_scores_gemma":[0.002367591,0.0002557878,0.0005315877,0.000984406,0.0002710174,0.0002624244,0.0004609639,0.0006779133,0.0001720834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001832582,"about_ca_system_score_gemma":0.0002170882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005409411,"about_ca_topic_score_gemma":0.006580913,"domain_scores_codex":[0.9995053,0.0001440494,0.00004201094,0.000124124,0.00007095777,0.0001134976],"domain_scores_gemma":[0.9981416,0.0003285686,0.001021499,0.0001075205,0.0001206326,0.00028009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001074836,0.00001403136,0.9990063,0.000003599745,0.00004065785,0.00002973159,0.0000198087,0.00002370495,0.00009963259,0.000008678534,0.00003236473,0.000613998],"study_design_scores_gemma":[0.000002069969,0.00002831861,0.9997229,0.000003047352,0.00001874946,0.00006441087,0.00003227432,0.0000510926,0.00001346814,0.00001501342,0.00004697579,0.000001661336],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988795,0.0003955509,0.00006191521,0.00005300113,0.00000879336,0.000002293796,0.000253957,0.000002580676,0.0003423301],"genre_scores_gemma":[0.9993321,0.0001435436,0.00005133471,0.00002291661,0.0000146198,0.000002540022,0.000328626,0.000001803872,0.0001024725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005409411,"threshold_uncertainty_score":0.01075584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04735398842494993,"score_gpt":0.4271583736300216,"score_spread":0.3798043852050716,"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."}}