{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.003116429,0.001238396,0.001768593,0.001784364,0.001862308,0.0003507404,0.0007158379,0.000629225,0.0001426589],"category_scores_gemma":[0.00612594,0.001237617,0.0004433316,0.002579427,0.0005256011,0.0003156884,0.0006249143,0.003496175,0.0002712499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007869459,"about_ca_system_score_gemma":0.0004815735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003680346,"about_ca_topic_score_gemma":0.0001003657,"domain_scores_codex":[0.9884574,0.00201527,0.002411136,0.002324012,0.002211539,0.002580578],"domain_scores_gemma":[0.9910545,0.004784676,0.001058092,0.001066864,0.0008086519,0.001227202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009512276,0.01793585,0.008553964,0.02248236,0.0004792761,0.003215667,0.03841894,0.00002797799,0.02074469,0.0009728335,0.8804996,0.005717624],"study_design_scores_gemma":[0.02994133,0.005847338,0.02392686,0.004988773,0.0002883288,0.0008819487,0.04014757,0.0005459566,0.003286775,0.001221088,0.8887162,0.0002078397],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9421164,0.009293998,0.0004408223,0.02347668,0.001081872,0.01895398,0.0006971916,0.0008966388,0.003042454],"genre_scores_gemma":[0.9389601,0.004545997,0.003175002,0.0302073,0.002153784,0.0135004,0.002083404,0.0004830195,0.004890953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0289901,"threshold_uncertainty_score":0.9994372,"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."}}