{"id":"W4318612969","doi":"10.1111/nbu.12599","title":"The <scp>Food4Years</scp> Ageing Network: Improving foods and diets as a strategy for supporting quality of life, independence and healthspan in older adults","year":2023,"lang":"en","type":"article","venue":"Nutrition Bulletin","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Biotechnology and Biological Sciences Research Council; Medical Research Council; Medical Research Council Canada","keywords":"Gerontology; Medicine; CLARITY; Incentive; Environmental health; Quality of life (healthcare); Population ageing; Population; Micronutrient; Nursing; Biology","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":[0.005040155,0.0008218846,0.001020267,0.00125711,0.001475651,0.003827677,0.002015654,0.008364697,0.07381757],"category_scores_gemma":[0.0150715,0.0003648988,0.001393176,0.001354083,0.0008737044,0.00274116,0.005670142,0.004406344,0.04179363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002577824,"about_ca_system_score_gemma":0.01183933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02058152,"about_ca_topic_score_gemma":0.0485797,"domain_scores_codex":[0.9964007,0.001280214,0.0003245393,0.0002030995,0.001286552,0.0005049577],"domain_scores_gemma":[0.9841293,0.002010977,0.001275806,0.0006024292,0.004394541,0.007586818],"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":[0.00009074027,0.00004251739,0.0004373105,0.0005543327,0.00001558802,0.00005897283,0.00005115524,0.00002917958,0.000109402,0.0004657837,0.9433904,0.05475457],"study_design_scores_gemma":[0.0001887044,0.000150299,0.007296458,0.00163091,0.00003484637,0.00008341474,0.0001595875,0.00008376151,0.0001000244,0.0006856117,0.9895673,0.00001908411],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.004633826,0.03758631,0.001732885,0.6550082,0.04205771,0.001456231,0.01795701,0.001189381,0.2383785],"genre_scores_gemma":[0.02926439,0.09448469,0.01254371,0.3711355,0.03219962,0.005516019,0.03058458,0.0008714386,0.4234001],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07381757,"threshold_uncertainty_score":0.2469444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04699259758874379,"score_gpt":0.365868932248834,"score_spread":0.3188763346600902,"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."}}