{"id":"W2263961817","doi":"10.1139/apnm-2012-0129","title":"Validation of a portable bioelectrical impedance analyzer for the assessment of body composition","year":2013,"lang":"en","type":"article","venue":"Applied Physiology Nutrition and Metabolism","topic":"Body Composition Measurement Techniques","field":"Medicine","cited_by":126,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Clinical Research Institute; Université du Québec à Montréal","funders":"Canadian Institutes of Health Research","keywords":"Bioelectrical impedance analysis; Trunk; Fat free mass; Fat mass; Lean body mass; Medicine; Population; Nuclear medicine; Body mass index; Internal medicine; Body weight; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.004389264,0.001010149,0.0006015414,0.0008472218,0.0003523595,0.0008242245,0.001118331,0.0008927002,0.001360138],"category_scores_gemma":[0.01048902,0.0002500792,0.0005188202,0.0008779487,0.0005270726,0.0004509604,0.0006196505,0.0005972167,0.0009471759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002467299,"about_ca_system_score_gemma":0.0004871944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0011503,"about_ca_topic_score_gemma":0.001648249,"domain_scores_codex":[0.9943581,0.002093563,0.0003957488,0.001017036,0.002040928,0.00009457315],"domain_scores_gemma":[0.9952937,0.002143511,0.0005860112,0.0006513856,0.001165931,0.0001594164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002752283,0.00146733,0.6107397,0.0005639415,0.0006212156,0.0003233824,0.001081069,0.002470281,0.1723726,0.0007155975,0.00212377,0.2047688],"study_design_scores_gemma":[0.000607124,0.009622703,0.9005517,0.0002984366,0.0005965147,0.003670831,0.0007898781,0.02587569,0.04724359,0.0006924792,0.009965445,0.00008566424],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8274722,0.001170607,0.1624848,0.0003107855,0.0003266127,0.001103454,0.001878767,0.0007527421,0.004500079],"genre_scores_gemma":[0.9159171,0.0006413579,0.07735084,0.000463093,0.0001111604,0.0009090653,0.002335026,0.0001126193,0.002159735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004389264,"threshold_uncertainty_score":0.02321297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01758425992779096,"score_gpt":0.3008175358145019,"score_spread":0.2832332758867109,"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."}}