{"id":"W4362506530","doi":"10.6133/apjcn.202303_32(1).0020","title":"Interactions of genetic and macronutrient intake with abdominal obesity among middle-aged vegetarians in Malaysia.","year":2023,"lang":"en","type":"article","venue":"PubMed","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Centre","funders":"","keywords":"Abdominal obesity; Waist; Obesity; Medicine; Odds ratio; Genotype; Body mass index; Logistic regression; Internal medicine; Physiology; Demography; Biology; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003986423,0.000282393,0.0001963975,0.0004104119,0.0002555078,0.0003558398,0.0001783563,0.0002864184,0.001108875],"category_scores_gemma":[0.0006804068,0.0002316047,0.0004059674,0.0004120258,0.0001830371,0.0001791562,0.0002853639,0.0002886931,0.0001224068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001945527,"about_ca_system_score_gemma":0.0002568213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006647225,"about_ca_topic_score_gemma":0.009034557,"domain_scores_codex":[0.9997568,0.00008540629,0.00002509501,0.00006203025,0.00003501345,0.0000356218],"domain_scores_gemma":[0.9995347,0.00009680765,0.0002156437,0.00003154818,0.00003387903,0.00008743557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001125708,0.00002242713,0.9983715,0.00001307322,0.00007353698,0.00006296649,0.00005612097,0.00001178037,0.0003236108,0.000008480549,0.00002325587,0.0009205857],"study_design_scores_gemma":[0.000002272228,0.00007170471,0.9994636,0.000006353542,0.00004251565,0.0001559492,0.00008545734,0.00006919404,0.00004251517,0.00001120858,0.00004780332,0.000001433962],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994848,0.0002307322,0.00004880827,0.00002713482,0.000002551059,0.000002457322,0.0001001561,0.000001445788,0.0001020317],"genre_scores_gemma":[0.9995603,0.00009225916,0.0001073986,0.00001440302,0.000002844659,0.000003099307,0.0000655979,6.800441e-7,0.0001533022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006647225,"threshold_uncertainty_score":0.01321709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01195473427604093,"score_gpt":0.2024268233771242,"score_spread":0.1904720891010833,"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."}}