{"id":"W4307385632","doi":"10.1093/ageing/afac218.188","title":"218 DEVELOPING CONSENSUS-BASED INTEGRATED NUTRITION CARE PATHWAYS TO PREVENT, IDENTIFY AND MANAGE MALNUTRITION IN IRELAND","year":2022,"lang":"en","type":"article","venue":"Age and Ageing","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research Institute for Aging; University of Waterloo","funders":"","keywords":"Medicine; Health care; Malnutrition; Context (archaeology); Nursing; Irish; Acute care; Relevance (law); Family 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.08379289,0.0005168252,0.0006382868,0.00257607,0.002821545,0.004051093,0.002615964,0.001518233,0.00299657],"category_scores_gemma":[0.07707071,0.0006142061,0.001188723,0.001221412,0.002071942,0.003269582,0.01225846,0.002449732,0.0009140513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01249755,"about_ca_system_score_gemma":0.07813279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02262373,"about_ca_topic_score_gemma":0.03729125,"domain_scores_codex":[0.9419179,0.03878815,0.006087814,0.002273551,0.006925113,0.004007473],"domain_scores_gemma":[0.9479041,0.01066754,0.006153129,0.002610062,0.0228233,0.009841857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005668341,0.002953312,0.1459738,0.006296104,0.0003091951,0.001673895,0.08772907,0.004828104,0.003501688,0.008867509,0.06361682,0.6736836],"study_design_scores_gemma":[0.001274056,0.004551075,0.1892602,0.01708301,0.000414607,0.001883611,0.3634217,0.02742244,0.007777126,0.02694866,0.3591909,0.0007727178],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7199345,0.00381291,0.0957069,0.08270145,0.001931486,0.01731022,0.00103556,0.0009236918,0.07664331],"genre_scores_gemma":[0.7707385,0.001957122,0.2132231,0.004862154,0.0001078326,0.003884374,0.001032846,0.0000734323,0.004120703],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.08379289,"threshold_uncertainty_score":0.4431444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03719777471378084,"score_gpt":0.3176403719041911,"score_spread":0.2804425971904103,"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."}}