{"id":"W4280614385","doi":"10.1093/ibd/izac102","title":"High Prevalence of Malnutrition and Micronutrient Deficiencies in Patients With Inflammatory Bowel Disease Early in Disease Course","year":2022,"lang":"en","type":"article","venue":"Inflammatory Bowel Diseases","topic":"Inflammatory Bowel Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Institutes of Health","keywords":"Malnutrition; Medicine; Micronutrient; Micronutrient deficiency; Inflammatory bowel disease; Disease; Crohn's disease; Cohort; Odds ratio; Pediatrics; Internal medicine; Pathology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006751261,0.000272356,0.000396797,0.0008467545,0.0004861562,0.0006428089,0.0002853857,0.0004827857,0.001190272],"category_scores_gemma":[0.002138801,0.0002645224,0.0002747589,0.0008865019,0.0003141126,0.0005405127,0.0005061614,0.0006085893,0.000180793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002269655,"about_ca_system_score_gemma":0.0003374841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002079888,"about_ca_topic_score_gemma":0.003561211,"domain_scores_codex":[0.9994751,0.0001367651,0.00007122579,0.00009353546,0.0001247434,0.00009869455],"domain_scores_gemma":[0.9982293,0.0002512618,0.001031798,0.00006493532,0.0001346125,0.0002880978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002853931,0.000009456781,0.9995286,0.000004330803,0.000007857762,0.00004299,0.00001893718,0.000004892764,0.00007844491,0.000002219383,0.00001422591,0.0002595368],"study_design_scores_gemma":[0.000002912179,0.00007007556,0.9991257,0.000006390723,0.000009533699,0.0005805957,0.00008143767,0.00003502614,0.00002478988,0.000006075368,0.00005576871,0.000001653548],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993929,0.0002880427,0.0000329989,0.00003387006,0.000003676972,0.000004959263,0.00008796996,0.000001497286,0.0001541273],"genre_scores_gemma":[0.9996738,0.00008988234,0.00006883019,0.00001892117,0.000007351492,0.00000400629,0.0001013615,6.009473e-7,0.00003517678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002079888,"threshold_uncertainty_score":0.004135609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003342995426933496,"score_gpt":0.1911601335571726,"score_spread":0.1878171381302391,"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."}}