{"id":"W3099553062","doi":"10.1016/j.clnesp.2020.09.046","title":"Micronutrient status in children with anorexia nervosa: high frequency of early copper and selenium deficiencies","year":2020,"lang":"en","type":"article","venue":"Clinical Nutrition ESPEN","topic":"Child Nutrition and Feeding Issues","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut universitaire de cardiologie et de pneumologie de Québec","funders":"","keywords":"Micronutrient; Medicine; Anorexia nervosa; Pediatrics; Malnutrition; Incidence (geometry); Micronutrient deficiency; Population; Selenium; Disease; Environmental health; Eating disorders; Psychiatry; Internal medicine; Pathology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002749552,0.0004262401,0.0003840449,0.001459491,0.0005923816,0.0005332741,0.0003305168,0.0005919882,0.001844847],"category_scores_gemma":[0.001151865,0.0003239645,0.0002305797,0.001429731,0.0005175193,0.0004508456,0.000433878,0.0005656556,0.0001748203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003460319,"about_ca_system_score_gemma":0.0003978293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009329754,"about_ca_topic_score_gemma":0.009882198,"domain_scores_codex":[0.9997758,0.00004795429,0.00002845092,0.0000395722,0.00004594897,0.00006222435],"domain_scores_gemma":[0.9993719,0.0001756922,0.0002490905,0.00001646258,0.0000524834,0.0001342184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009944525,0.00005301425,0.9957823,0.00002569314,0.00001605048,0.001854944,0.0002723889,0.00002849322,0.0005312565,0.00002083105,0.00007491839,0.001240767],"study_design_scores_gemma":[0.000003936165,0.00009334896,0.9918098,0.00001192944,0.00001455767,0.00672838,0.001041524,0.00005115955,0.00007198282,0.00002264481,0.0001465713,0.000004150373],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989759,0.0003725649,0.00002525108,0.00005184788,0.000005151718,0.000002907943,0.0001054503,0.000003131423,0.0004577207],"genre_scores_gemma":[0.9993885,0.000249534,0.000072449,0.00001762755,0.000008188697,0.000003649622,0.00009941647,0.00000171362,0.0001587918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009329754,"threshold_uncertainty_score":0.01855093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03729089317642012,"score_gpt":0.3088288970012464,"score_spread":0.2715380038248263,"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."}}