{"id":"W3092882607","doi":"10.3899/jrheum.200964","title":"Bioelectrical Impedance Vector Analysis for Nutritional Status Assessment in Systemic Sclerosis and Association With Disease Characteristics","year":2020,"lang":"en","type":"article","venue":"The Journal of Rheumatology","topic":"Systemic Sclerosis and Related Diseases","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Bioelectrical impedance analysis; Hypoalbuminemia; Internal medicine; Wasting; Malnutrition; Gastroenterology; Cardiology; Scleroderma (fungus); Body mass index; Immunology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008479899,0.0004058985,0.0003576794,0.001180807,0.0001569684,0.0005104539,0.0001575956,0.0002834009,0.001209707],"category_scores_gemma":[0.002747589,0.0001007911,0.0001886544,0.001070297,0.0001882271,0.0003097665,0.0003517792,0.0002821271,0.0002783598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008647713,"about_ca_system_score_gemma":0.0001213865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003810081,"about_ca_topic_score_gemma":0.0004883212,"domain_scores_codex":[0.9994659,0.0002442817,0.00006929391,0.00007358698,0.0001073367,0.00003953576],"domain_scores_gemma":[0.998378,0.0006345503,0.0005955418,0.00006615964,0.0001717164,0.0001539423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000218897,0.00002361982,0.993216,0.0000134817,0.00003488933,0.00003650807,0.00002893683,0.00007593623,0.001229101,0.000009827783,0.00003602022,0.005076896],"study_design_scores_gemma":[0.00001205466,0.0004176141,0.9973831,0.000009166105,0.00002801983,0.000457997,0.0001081576,0.001117834,0.0002533855,0.00002483698,0.0001833081,0.000004535461],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987738,0.0003123998,0.0005236747,0.00001931705,0.000005779826,0.00001052018,0.0001043899,0.00000792526,0.0002421675],"genre_scores_gemma":[0.9991525,0.00007907828,0.0005002181,0.000005781522,0.000009900016,0.00001494368,0.0001315447,0.000001699862,0.0001043877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001209707,"threshold_uncertainty_score":0.004484653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02021798985588606,"score_gpt":0.2637370245946067,"score_spread":0.2435190347387206,"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."}}