{"id":"W2074331428","doi":"10.1016/j.jcf.2014.01.006","title":"Agreement of bioelectric impedance analysis and dual-energy X-ray absorptiometry for body composition evaluation in adults with cystic fibrosis","year":2014,"lang":"en","type":"article","venue":"Journal of Cystic Fibrosis","topic":"Body Composition Measurement Techniques","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Université de Sherbrooke; Université de Montréal; Montreal Clinical Research Institute","funders":"Canadian Institutes of Health Research; Institut de Recherche Clinique De Montréal; Cystic Fibrosis Canada","keywords":"Bioelectrical impedance analysis; Medicine; Dual-energy X-ray absorptiometry; Cystic fibrosis; Dual energy; Limits of agreement; Nuclear medicine; Fat free mass; Fat mass; Internal medicine; Bone mineral; Body weight; Osteoporosis; Body mass index","routes":{"ca_aff":true,"ca_fund":true,"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":[0.007814547,0.0004054236,0.0006843989,0.001013502,0.0003718419,0.001397298,0.000628004,0.001126497,0.0007800437],"category_scores_gemma":[0.02929231,0.0003111796,0.0005835309,0.0005506489,0.0005558133,0.001101014,0.001165533,0.0007541649,0.0005705568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004553791,"about_ca_system_score_gemma":0.0003640625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003065086,"about_ca_topic_score_gemma":0.005924587,"domain_scores_codex":[0.9943774,0.002427375,0.0007500433,0.0007166661,0.001363247,0.0003652527],"domain_scores_gemma":[0.9825596,0.01069753,0.001258061,0.0009410956,0.0041696,0.0003741125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008039686,0.0000563357,0.9880109,0.0000361706,0.0001274544,0.00006578508,0.0005319002,0.0003586416,0.001825501,0.00008482725,0.0001996282,0.007898856],"study_design_scores_gemma":[0.00003379059,0.0004795727,0.988739,0.00003431859,0.0001336678,0.0004006249,0.0008522437,0.006754703,0.001938166,0.0001222414,0.0004951569,0.00001648453],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939182,0.0009360479,0.002387326,0.0001201514,0.00008767473,0.000033062,0.0002269547,0.00003290114,0.002257688],"genre_scores_gemma":[0.9986306,0.00009541264,0.0008329269,0.00005417951,0.00001771096,0.00001096135,0.0001500504,0.000006780423,0.0002013541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007814547,"threshold_uncertainty_score":0.04132771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01080641720868498,"score_gpt":0.269257516568243,"score_spread":0.258451099359558,"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."}}