{"id":"W3162875091","doi":"10.2196/25043","title":"Exploring the Potential of Personalized Dietary Advice for Health Improvement in Motivated Individuals With Premetabolic Syndrome: Pretest-Posttest Study","year":2021,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Waist; Metabolic syndrome; Likert scale; Dietary management; Body mass index; Gerontology; Physical therapy; Internal medicine; Obesity; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008900089,0.0001375044,0.0002221613,0.000117461,0.0001991613,0.0000346261,0.0002227534,0.00003551984,0.000009461828],"category_scores_gemma":[0.0001047489,0.0001017731,0.00007026373,0.0003903121,0.0001467913,0.00002229278,0.0001979316,0.000161762,0.000001001319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003546982,"about_ca_system_score_gemma":0.0004037579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005022328,"about_ca_topic_score_gemma":0.00005928257,"domain_scores_codex":[0.9979904,0.0004296751,0.0003339365,0.0003099601,0.0005028366,0.000433149],"domain_scores_gemma":[0.9988175,0.00006019793,0.0001003266,0.0003445665,0.0005636637,0.0001137288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01073179,0.02958904,0.2341384,0.006452127,0.003187097,0.0001200053,0.08728114,0.0007976522,0.5911928,0.0002729839,0.008577944,0.02765896],"study_design_scores_gemma":[0.009459741,0.01118473,0.8656708,0.0002178757,0.00003969446,0.00002164795,0.03746281,0.0001620664,0.07326983,0.0001705521,0.002013247,0.0003269979],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962051,0.001029925,0.00006300343,0.000480382,0.00004786528,0.001928394,0.0002080025,0.000006681499,0.0000306701],"genre_scores_gemma":[0.9975199,0.0004011663,0.0001987985,0.00007696348,0.00005766656,0.001378882,0.0002754461,0.00001964089,0.00007159759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6315324,"threshold_uncertainty_score":0.4150186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06287365030976437,"score_gpt":0.3696014859441776,"score_spread":0.3067278356344132,"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."}}