{"id":"W2109800038","doi":"10.6000/1929-4247.2012.01.01.05","title":"Nutritional Risk Screening Tools in Hospitalised Children","year":2012,"lang":"en","type":"article","venue":"International Journal of Child Health and Nutrition","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Anthropometry; Intensive care medicine; Risk assessment; Clinical Practice; Environmental health; Pediatrics; Family medicine","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":[0.003375711,0.0004755709,0.0005824538,0.002844028,0.0003176702,0.0006933134,0.0005548722,0.0005338534,0.00223984],"category_scores_gemma":[0.01286772,0.0001925026,0.0005085451,0.001391188,0.0002041844,0.0007726206,0.001029424,0.0006617836,0.0004475539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006128623,"about_ca_system_score_gemma":0.0008421956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002507268,"about_ca_topic_score_gemma":0.003670578,"domain_scores_codex":[0.9983879,0.0007798045,0.0003739742,0.00008254916,0.0002625847,0.0001132872],"domain_scores_gemma":[0.9953425,0.00207837,0.001558552,0.00008890289,0.000611916,0.0003198702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007973101,0.0008039617,0.6643621,0.001680346,0.0001004452,0.002361458,0.002769452,0.0008780779,0.0008148893,0.001087649,0.01193444,0.3124098],"study_design_scores_gemma":[0.0001875986,0.002237824,0.9524289,0.002723241,0.0002143508,0.006162913,0.004632558,0.002279255,0.002446611,0.002085068,0.0244909,0.0001106956],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.932043,0.01932855,0.005232758,0.004853571,0.0003637811,0.001102273,0.002563172,0.0004668261,0.03404613],"genre_scores_gemma":[0.9488667,0.01327002,0.03055454,0.0007383788,0.0001712744,0.00102531,0.001853876,0.00002464572,0.003495239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003375711,"threshold_uncertainty_score":0.01785266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02888878175087893,"score_gpt":0.3531868598676022,"score_spread":0.3242980781167233,"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."}}