{"id":"W1967356882","doi":"10.1016/s0003-9993(02)04950-x","title":"The use of bioelectric impedance analysis to measure fluid compartments in subjects with chronic paraplegia11No commercial party having a direct financial interest in the results of the research supporting this article has or will confer a benefit upon the author(s) or upon any organization with which the author(s) is/are associated.","year":2003,"lang":"en","type":"article","venue":"Archives of Physical Medicine and Rehabilitation","topic":"Body Composition Measurement Techniques","field":"Medicine","cited_by":54,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Rehabilitation Institute; University of Toronto; Hospital for Sick Children","funders":"","keywords":"Bioelectrical impedance analysis; Body water; Extracellular fluid; Body mass index; Medicine; Paraplegia; Obesity; Internal medicine; Endocrinology; Gastroenterology; Cardiology; Body weight; Chemistry; Extracellular; Spinal cord","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":[0.000755591,0.0003942243,0.000311144,0.0008727305,0.0002666861,0.0006315287,0.0002142676,0.0005138161,0.0008469938],"category_scores_gemma":[0.002348417,0.0001516929,0.000174664,0.0005449628,0.000261027,0.0004114835,0.0003248741,0.0004491735,0.0002897666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001585308,"about_ca_system_score_gemma":0.0002483421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002211512,"about_ca_topic_score_gemma":0.003916332,"domain_scores_codex":[0.9996939,0.0001242927,0.00003176937,0.0000536822,0.00006774233,0.00002864646],"domain_scores_gemma":[0.9992969,0.0003203524,0.0001463612,0.0000418019,0.0001264835,0.00006802735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003135556,0.0007173702,0.8923519,0.0002825101,0.0001696844,0.0002769791,0.0007435921,0.0002331252,0.03074983,0.00009926207,0.000497307,0.07074279],"study_design_scores_gemma":[0.00008267474,0.001790803,0.9909133,0.00004948613,0.00007976346,0.0006707782,0.0004349695,0.001282355,0.004066319,0.0001189726,0.0004935663,0.00001711908],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960101,0.001112536,0.00137326,0.0001031189,0.00003188811,0.00003895973,0.0001676676,0.00001483049,0.001147517],"genre_scores_gemma":[0.9971337,0.0005920269,0.00133859,0.00006517969,0.00002398279,0.00004798441,0.0001174916,0.00000367781,0.0006772261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002211512,"threshold_uncertainty_score":0.004397273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09647658157845494,"score_gpt":0.3508291959786042,"score_spread":0.2543526144001492,"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."}}