{"id":"W4389504132","doi":"10.1016/j.clnu.2023.12.006","title":"The science of micronutrients in clinical practice – Report on the ESPEN symposium","year":2023,"lang":"en","type":"article","venue":"Clinical Nutrition","topic":"Trace Elements in Health","field":"Nursing","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"World Health Organization","keywords":"Medicine; Micronutrient; Micronutrient deficiency; Clinical Practice; Intensive care medicine; Epidemiology; Vitamin D and neurology; vitamin D deficiency; Gerontology; Pathology; Family medicine; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02523467,0.0001156396,0.0002750263,0.0001178145,0.0004287316,0.00006985453,0.0006599165,0.0001562882,0.000006729396],"category_scores_gemma":[0.02956175,0.00007425081,0.0001506965,0.001289513,0.001232662,0.0002397646,0.0001533985,0.0008507123,0.0001505259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001320321,"about_ca_system_score_gemma":0.0001462602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002846791,"about_ca_topic_score_gemma":0.0000162243,"domain_scores_codex":[0.9948117,0.001151191,0.002214249,0.0005653637,0.0007877164,0.0004698229],"domain_scores_gemma":[0.9799222,0.01794882,0.0007813047,0.0009356223,0.0002984523,0.0001136148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.01868691,0.02614359,0.2341942,0.0005669563,0.0001510442,0.0006829068,0.001203233,0.00008041842,0.007314859,0.0263896,0.5362869,0.1482994],"study_design_scores_gemma":[0.006890308,0.003993001,0.4830729,0.00128398,0.0001067811,0.00008791145,0.001977597,0.0009463202,0.007894454,0.01836298,0.4749479,0.0004358811],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8773897,0.00007175836,0.000005055825,0.1145274,0.00533479,0.001178217,0.000008196331,0.00007142308,0.001413473],"genre_scores_gemma":[0.9958,0.001011694,0.0006798343,0.00166526,0.0006384825,0.00007251209,0.00001226849,0.00002076499,0.00009915368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2488787,"threshold_uncertainty_score":0.9786127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1098831117010401,"score_gpt":0.4943536239950331,"score_spread":0.3844705122939929,"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."}}