{"id":"W3157947600","doi":"10.1016/j.jand.2021.03.017","title":"Academy of Nutrition and Dietetics Nutrition Research Network: Rationale and Protocol for a Study to Validate the Academy of Nutrition and Dietetics/American Society for Parenteral and Enteral Nutrition Consensus-Derived Diagnostic Indicators For Adult And Pediatric Malnutrition and to Determine Optimal Registered Dietitian Nutritionist Staffing in Acute Care Hospital Settings","year":2021,"lang":"en","type":"article","venue":"Journal of the Academy of Nutrition and Dietetics","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Canadian Nuclear Safety Commission; Academy of Nutrition and Dietetics; Academy of Nutrition and Dietetics Foundation","keywords":"Medicine; Malnutrition; Nutritionist; Parenteral nutrition; Clinical nutrition; Bioelectrical impedance analysis; Medical nutrition therapy; Pediatrics; Intensive care medicine; Body mass index; Internal medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001383677,0.00041569,0.001086824,0.0005724108,0.0006767127,0.0001579215,0.0001558779,0.0003337121,0.000001342907],"category_scores_gemma":[0.0008506827,0.0003752371,0.0002224263,0.0006480381,0.0007449636,0.0002857285,0.0002572602,0.000783734,3.465357e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001266979,"about_ca_system_score_gemma":0.00006691555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005941149,"about_ca_topic_score_gemma":0.000007478113,"domain_scores_codex":[0.9960138,0.0003887111,0.001690623,0.0006691678,0.0006217851,0.0006159309],"domain_scores_gemma":[0.9954784,0.00195471,0.00109085,0.0001284269,0.0009096413,0.0004379902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"observational","study_design_scores_codex":[0.06512298,0.05880322,0.1283012,0.4232186,0.002505546,0.00007040864,0.04825394,0.00005141045,0.1047691,0.003875665,0.1394009,0.02562712],"study_design_scores_gemma":[0.2580021,0.04397717,0.3733667,0.0807711,0.005146358,0.001849958,0.09990298,0.004954387,0.04310953,0.02463314,0.06146112,0.002825433],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.859082,0.005228205,0.000267476,0.09080455,0.00006083406,0.04342213,0.001119677,0.00001426145,8.149952e-7],"genre_scores_gemma":[0.9194595,0.02741961,0.03581377,0.001183705,0.0007999442,0.01516678,0.00008928398,0.00006086273,0.000006579628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3424475,"threshold_uncertainty_score":0.9998699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09012394246654662,"score_gpt":0.4225505853223094,"score_spread":0.3324266428557627,"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."}}