{"id":"W4212790699","doi":"10.1186/s12967-022-03300-2","title":"The relationship between frailty, nutritional status, co-morbidity, CT-body composition and systemic inflammation in patients with COVID-19","year":2022,"lang":"en","type":"article","venue":"Journal of Translational Medicine","topic":"Frailty in Older Adults","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Systemic inflammation; Internal medicine; Malnutrition; Sarcopenia; Univariate analysis; Multivariate analysis; Coronavirus disease 2019 (COVID-19); Obesity; COPD; Inflammation; Disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001130409,0.0001421901,0.0003515123,0.0003963318,0.0003961702,0.00001512489,0.0001053759,0.00003685366,0.0001094979],"category_scores_gemma":[0.0004911664,0.00009856339,0.00004785839,0.000345642,0.000209078,0.0002184141,0.00001415232,0.0006675196,0.000001401814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003974341,"about_ca_system_score_gemma":0.0004215513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003875581,"about_ca_topic_score_gemma":0.00001785136,"domain_scores_codex":[0.9969574,0.0002840211,0.0008740828,0.0001454832,0.001554172,0.0001849082],"domain_scores_gemma":[0.9964333,0.002441832,0.0004815478,0.0001187104,0.00026356,0.0002610398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001156515,0.0001069234,0.9943943,0.0001522157,0.00007382861,0.00004581122,0.0006187818,0.0005917394,0.0001679748,0.001164336,0.001004555,0.0005229989],"study_design_scores_gemma":[0.01379703,0.001031731,0.9788027,0.0004332252,0.0001486855,0.0006766738,0.0002872545,0.00009431711,0.00001426066,0.002031778,0.002587973,0.00009432139],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9630925,0.0007189255,0.00130519,0.03389134,0.0001298835,0.0006143958,0.0001192109,0.00001231499,0.0001162529],"genre_scores_gemma":[0.9981406,0.00003870447,0.0003325264,0.0002777042,0.0004056425,0.00001923627,0.0007391337,0.00001615633,0.00003028683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03504812,"threshold_uncertainty_score":0.4019298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0485933239674613,"score_gpt":0.3282570248478727,"score_spread":0.2796637008804114,"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."}}