{"id":"W4285993162","doi":"10.1111/nbu.12571","title":"<scp>PROtein</scp> enriched <scp>MEDiterranean</scp> diet to combat undernutrition and promote healthy <scp>neuroCOGnitive</scp> ageing in older adults: The <scp>PROMED‐COG</scp> consortium project","year":2022,"lang":"en","type":"article","venue":"Nutrition Bulletin","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; Directorate for Biological Sciences; Medical Research Council Canada; Biotechnology and Biological Sciences Research Council; Joint Programming Initiative A healthy diet for a healthy life; Ministero della Salute; Horizon 2020 Framework Programme; UK Research and Innovation; Health Research Board","keywords":"Neurocognitive; Malnutrition; Dementia; Medicine; Gerontology; Cognitive decline; Environmental health; Public health; Cognition; Psychiatry; Disease; Nursing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004570201,0.0007848544,0.000991427,0.0005685851,0.0007344833,0.001629949,0.0007018854,0.0008172282,0.003530187],"category_scores_gemma":[0.003615357,0.0001671743,0.001635377,0.0007847751,0.0003657662,0.0004706209,0.002255824,0.001020257,0.0008762384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001354296,"about_ca_system_score_gemma":0.004373194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01345309,"about_ca_topic_score_gemma":0.01508958,"domain_scores_codex":[0.9989462,0.000655562,0.00006242671,0.00008027523,0.0001611827,0.00009431017],"domain_scores_gemma":[0.9989967,0.000161688,0.0001524871,0.00007404072,0.0002722389,0.0003429824],"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":[0.02905301,0.005328729,0.04424158,0.01407107,0.00811238,0.0002419122,0.0007890544,0.001958916,0.002462255,0.004421286,0.1483725,0.7409474],"study_design_scores_gemma":[0.03246109,0.01970717,0.4810377,0.02083509,0.01276813,0.0005874355,0.001318277,0.002725335,0.004798793,0.01640788,0.4070546,0.0002984247],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6975304,0.08957767,0.01260336,0.05438508,0.004464977,0.01363854,0.07970725,0.0009990658,0.04709363],"genre_scores_gemma":[0.6790407,0.09788859,0.06871331,0.02744252,0.001870865,0.0298399,0.06092146,0.00043933,0.03384327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01345309,"threshold_uncertainty_score":0.02674955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02745735760234446,"score_gpt":0.2920812773323429,"score_spread":0.2646239197299984,"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."}}