{"id":"W2588552176","doi":"10.1007/s00421-017-3552-x","title":"The effect of hydration status on the measurement of lean tissue mass by dual-energy X-ray absorptiometry","year":2017,"lang":"en","type":"article","venue":"European Journal of Applied Physiology","topic":"Body Composition Measurement Techniques","field":"Medicine","cited_by":69,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Glycogen; Lean body mass; Dual-energy X-ray absorptiometry; Dehydration; Internal medicine; Cycle ergometer; Chemistry; Endocrinology; Medicine; Animal science; Body weight; Bone mineral; Biochemistry; Biology; Blood pressure","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":[],"consensus_categories":[],"category_scores_codex":[0.00284039,0.0001627593,0.0003962844,0.00009712427,0.0002183399,0.00001913305,0.0003652938,0.00003409974,0.00003096426],"category_scores_gemma":[0.0001577911,0.00008514433,0.0001142276,0.00007150157,0.0002997991,0.00003775105,0.00005187357,0.0002981846,0.000008057985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006378596,"about_ca_system_score_gemma":0.00003676803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004094441,"about_ca_topic_score_gemma":5.299863e-7,"domain_scores_codex":[0.9980446,0.0004182293,0.0005857066,0.0001387849,0.0006220091,0.0001906329],"domain_scores_gemma":[0.9975013,0.0001880222,0.001335906,0.0006078511,0.0002940934,0.00007283359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002675465,0.000071085,0.00002002895,0.00003224438,0.0001823544,0.000006708529,0.00005331975,0.00005176707,0.9817727,0.001016827,0.007418976,0.006698546],"study_design_scores_gemma":[0.001362534,0.003690472,0.01095615,0.0001240521,0.0001143192,0.000006420586,0.00003165633,0.0000219215,0.9734268,0.0003675942,0.009819724,0.00007834433],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9686805,0.0002245533,0.002144525,0.0008106039,0.0002572664,0.0004051176,0.000006226056,0.00002122408,0.02744999],"genre_scores_gemma":[0.9992601,0.0001068365,0.0002136229,0.0001283844,0.0002206027,0.000004363766,0.000004410538,0.00002798938,0.00003364307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03057966,"threshold_uncertainty_score":0.3472085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01742655824667992,"score_gpt":0.2557232916608831,"score_spread":0.2382967334142032,"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."}}