{"id":"W4392285567","doi":"10.3390/nu16050696","title":"The Effect of Micronutrients on Obese Phenotype of Adult Mice Is Dependent on the Experimental Environment","year":2024,"lang":"en","type":"article","venue":"Nutrients","topic":"Retinoids in leukemia and cellular processes","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of Toronto","funders":"Institute of Nutrition, Metabolism and Diabetes; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; University of Toronto","keywords":"Epigenome; Phenotype; Obesity; Biology; Adipose tissue; Micronutrient; Endocrinology; Phenotypic plasticity; Insulin resistance; Internal medicine; Gene expression; Gene; Physiology; Medicine; Genetics; DNA methylation; Pathology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001700871,0.0001575592,0.0001158309,0.00002017694,0.00008802288,0.00001756859,0.0003214452,0.0000930177,0.00002737462],"category_scores_gemma":[0.00004981915,0.00008520182,0.0001154055,0.00005818449,0.0001408007,0.000002145759,0.0001014172,0.000108516,0.00004428327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003404267,"about_ca_system_score_gemma":0.00002205668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005648964,"about_ca_topic_score_gemma":1.919585e-7,"domain_scores_codex":[0.9989398,0.00009492518,0.0002017918,0.0002884507,0.0003048275,0.0001702759],"domain_scores_gemma":[0.9993869,0.00008965231,0.00007575392,0.0003908245,0.00002363302,0.00003322718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007031066,0.0001721986,0.0008659381,0.00009646115,0.0001057138,0.000002434935,0.0001856754,0.00001144644,0.9936377,0.0003014104,0.00252546,0.001392417],"study_design_scores_gemma":[0.0005315701,0.001522234,0.00005406218,0.0000918596,0.00002229907,0.000001589245,0.0000948242,0.00001743847,0.9782517,0.0000338389,0.01929642,0.00008219654],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938029,0.004388202,0.00002961669,0.00009653402,0.0002665819,0.000306884,0.00002644844,0.000004677547,0.001078138],"genre_scores_gemma":[0.9982852,0.000760938,0.000009954655,0.0001091503,0.00007574906,0.00004804167,0.0000191129,0.00001932463,0.0006724818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01677096,"threshold_uncertainty_score":0.347443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003922265498480047,"score_gpt":0.2271116278297591,"score_spread":0.2231893623312791,"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."}}