{"id":"W1606606655","doi":"10.1096/fasebj.28.1_supplement.1156.14","title":"Measurement of leg fluid volume using bioelectrical impedance (1156.14)","year":2014,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Body Composition Measurement Techniques","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Rehabilitation Institute","funders":"","keywords":"Bioelectrical impedance analysis; Ankle; Extracellular fluid; Medicine; Volume (thermodynamics); Sitting; Body water; Cardiology; Biomedical engineering; Anatomy; Body weight; Internal medicine; Chemistry; Extracellular; Body mass index; Physics; Pathology","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":[0.0002897376,0.000558792,0.0003440888,0.0007740547,0.0001280321,0.0005153246,0.0003640406,0.0005070845,0.00239407],"category_scores_gemma":[0.0006857106,0.0001584474,0.0002023653,0.0006520483,0.00021199,0.0003465128,0.0003190865,0.000373976,0.0006349292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001478672,"about_ca_system_score_gemma":0.00008296973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005527112,"about_ca_topic_score_gemma":0.0008572405,"domain_scores_codex":[0.9995391,0.0001168954,0.00002977725,0.0001068355,0.0001792901,0.00002803061],"domain_scores_gemma":[0.9996353,0.0001271765,0.0001132912,0.00002405452,0.00006983318,0.00003026216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001691205,0.0002266659,0.2141728,0.0008006939,0.0002517669,0.0003602205,0.0004840513,0.0007981079,0.6216736,0.0002476227,0.001562631,0.1577308],"study_design_scores_gemma":[0.0001450274,0.002875741,0.8822299,0.0001174377,0.0002363864,0.003693628,0.0002817277,0.009711787,0.09457456,0.0003618131,0.005697608,0.00007441507],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9421735,0.002883351,0.04846353,0.000170963,0.00009495611,0.0001404522,0.002058915,0.0004785351,0.00353582],"genre_scores_gemma":[0.9644127,0.0008737925,0.03029059,0.0002125958,0.00009804672,0.0002427557,0.001174674,0.0000515647,0.002643157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00239407,"threshold_uncertainty_score":0.008009017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04505232394821787,"score_gpt":0.2850027220810377,"score_spread":0.2399503981328198,"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."}}