{"id":"W4393102300","doi":"10.2196/52170","title":"Developing a Personalized Meal Recommendation System for Chinese Older Adults: Observational Cohort Study","year":2024,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Chinese Academy of Medical Sciences","keywords":"Observational study; Meal; Cohort; Medicine; Cohort study; Gerontology; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.003704739,0.0004846739,0.0006550545,0.0009170885,0.0009838396,0.0005668011,0.0006067048,0.0006869343,0.001275008],"category_scores_gemma":[0.006514554,0.000430795,0.001137013,0.001034198,0.0002797265,0.0008221477,0.0006604405,0.0007008591,0.0003535876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001035063,"about_ca_system_score_gemma":0.001784792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06572977,"about_ca_topic_score_gemma":0.05017555,"domain_scores_codex":[0.9991719,0.000181164,0.0001419114,0.0002206921,0.0001615671,0.0001229169],"domain_scores_gemma":[0.9973711,0.0005128943,0.0004889267,0.0004485223,0.0006641163,0.0005144936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003472312,0.0009504403,0.9902226,0.00005354907,0.0001377762,0.0001147544,0.0007932885,0.00008736332,0.0002733943,0.00001826794,0.0004779333,0.00652345],"study_design_scores_gemma":[0.0001594834,0.00129356,0.9942069,0.00002267139,0.0002323803,0.00009450919,0.001263709,0.001909754,0.0002063993,0.00002887801,0.0005533823,0.00002829862],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987639,0.00003789611,0.0002038609,0.00003415752,0.000003661533,0.000151158,0.0006902421,0.000009369869,0.0001057593],"genre_scores_gemma":[0.996345,0.00009879164,0.001110939,0.00009764757,0.00001089301,0.0003163199,0.001708606,0.000005561406,0.000306198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06572977,"threshold_uncertainty_score":0.1306943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05850357422769366,"score_gpt":0.4167254964412198,"score_spread":0.3582219222135261,"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."}}