{"id":"W2767824890","doi":"10.1152/physiolgenomics.00059.2017","title":"Genetics of metabolic syndrome: potential clues from wild-derived inbred mouse strains","year":2017,"lang":"en","type":"review","venue":"Physiological Genomics","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canada Research Chairs; Heart and Stroke Foundation of Canada","keywords":"Inbred strain; Biology; Dyslipidemia; Genetics; Metabolic syndrome; Phenotype; Obesity; Disease; Gene; Endocrinology; Internal medicine; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001087816,0.0008741715,0.001446407,0.002372604,0.0002258617,0.001017146,0.001155534,0.001324969,0.002438747],"category_scores_gemma":[0.001061669,0.0003062048,0.000581559,0.001613494,0.000779512,0.001292497,0.0007382762,0.002555729,0.001348354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006611714,"about_ca_system_score_gemma":0.0008842688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007466122,"about_ca_topic_score_gemma":0.00104267,"domain_scores_codex":[0.9997423,0.00005097765,0.00004482211,0.00005013671,0.00008991198,0.00002190845],"domain_scores_gemma":[0.9994745,0.0002872348,0.00005635629,0.00002280234,0.0001097205,0.00004948266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001292828,0.00007857984,0.0004993656,0.01448905,0.0001385356,0.0006654874,0.00009842961,0.0003609236,0.006535958,0.01571155,0.03189077,0.9294021],"study_design_scores_gemma":[0.00001797981,0.00006507012,0.0009502723,0.002795933,0.0001301464,0.00168318,0.00004468222,0.00006893485,0.001139301,0.004674987,0.9884017,0.00002785267],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001602586,0.9975626,0.0004171402,0.000528593,0.0002924911,0.000004276294,0.0000340753,0.00001500126,0.0009855551],"genre_scores_gemma":[0.0005895995,0.9981965,0.0003218213,0.0002877437,0.0001513051,0.00000674117,0.00005218852,0.000003420977,0.0003906219],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002438747,"threshold_uncertainty_score":0.008158445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08573112289920477,"score_gpt":0.3066984497061321,"score_spread":0.2209673268069274,"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."}}