{"id":"W4411791814","doi":"10.1139/apnm-2025-0001","title":"Dietary creatine intake and all-cause mortality among U.S. adults: a linked mortality analysis from the NHANES study","year":2025,"lang":"en","type":"article","venue":"Applied Physiology Nutrition and Metabolism","topic":"Muscle metabolism and nutrition","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Creatine; National Health and Nutrition Examination Survey; Hazard ratio; Proportional hazards model; Demography; Internal medicine; Gerontology; Environmental health; Confidence interval; Population","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001756392,0.0004488555,0.0004388523,0.000968618,0.0003078455,0.0005020167,0.0003390851,0.0004309236,0.0007695191],"category_scores_gemma":[0.003073856,0.0002988304,0.00152775,0.00178352,0.0001356483,0.0002992227,0.00067769,0.0008864031,0.0001826567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002498559,"about_ca_system_score_gemma":0.0004112604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009271123,"about_ca_topic_score_gemma":0.0124145,"domain_scores_codex":[0.9992369,0.0003635165,0.00009698114,0.0001196395,0.0001203234,0.00006269485],"domain_scores_gemma":[0.9985543,0.0003435515,0.0005368837,0.0002209089,0.0002118363,0.0001325117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006752101,0.00006238194,0.995335,0.00006234815,0.001142061,0.00005701018,0.00006521989,0.0001575231,0.0001992526,0.00002323669,0.0004046691,0.001816005],"study_design_scores_gemma":[0.00004408546,0.0000831135,0.998651,0.00001338859,0.0003969583,0.00005638536,0.00006672692,0.0003548877,0.00003668628,0.00002713381,0.0002642518,0.000005380721],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942909,0.001006924,0.0003105934,0.0001108727,0.00001906371,0.00002950621,0.003826084,0.00001082576,0.0003951408],"genre_scores_gemma":[0.9931982,0.0005004719,0.0003797885,0.00008839003,0.00003357996,0.00007227951,0.005485335,0.000005747682,0.0002360318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009271123,"threshold_uncertainty_score":0.01843429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01755713873007858,"score_gpt":0.2807080505799371,"score_spread":0.2631509118498585,"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."}}