{"id":"W2052046366","doi":"10.1055/s-0029-1216352","title":"Evidence for Interaction between<i>PPARG</i>Pro12Ala and<i>PPARGC1A</i>Gly482Ser Polymorphisms in Determining Type 2 Diabetes Intermediate Phenotypes in Overweight Subjects","year":2009,"lang":"en","type":"article","venue":"Experimental and Clinical Endocrinology & Diabetes","topic":"Peroxisome Proliferator-Activated Receptors","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Canadian Institutes of Health Research","keywords":"Peroxisome proliferator-activated receptor gamma; PPARGC1A; Internal medicine; Endocrinology; Single-nucleotide polymorphism; Type 2 diabetes; Diabetes mellitus; Insulin resistance; Medicine; Genotype; Biology; Genetics; Peroxisome proliferator-activated receptor; Gene; Receptor; Transcription factor","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002187771,0.0002863802,0.0004910073,0.0001242153,0.00006652733,0.00003476891,0.0001772768,0.0002637866,0.00001321808],"category_scores_gemma":[0.0004068337,0.0002762964,0.00009225237,0.0001160694,0.0002773967,0.0000511251,0.0001775117,0.0003081151,0.000004101446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000363826,"about_ca_system_score_gemma":0.00003820391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000758902,"about_ca_topic_score_gemma":0.0000130763,"domain_scores_codex":[0.9978282,0.0001743033,0.0005882744,0.0007119751,0.0000813413,0.0006158618],"domain_scores_gemma":[0.9991315,0.0003502091,0.0001451549,0.0002005705,0.00003051643,0.000142046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001860518,0.0001641918,0.5649224,0.000008753653,0.00003993431,0.000002254473,0.00007162528,6.447109e-7,0.4183531,0.00001468598,0.0000417367,0.01619463],"study_design_scores_gemma":[0.001496253,0.002340157,0.2289414,0.0001372774,0.00001944501,0.000002080545,0.0001010125,0.00008193174,0.766055,0.0001294656,0.0004017313,0.0002942954],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878471,0.01108423,0.000003721357,0.0002275384,0.0004252771,0.0003338223,0.000007968931,0.00002416509,0.00004611436],"genre_scores_gemma":[0.9971421,0.001298757,0.0002028117,0.0008602403,0.0003252462,0.00008166752,0.00004637375,0.00002440625,0.00001838925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3477019,"threshold_uncertainty_score":0.9999689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03948836030706763,"score_gpt":0.352142984931722,"score_spread":0.3126546246246543,"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."}}