{"id":"W2748139941","doi":"10.3760/cma.j.issn.1007-9408.2016.04.015","title":"Association between Pro12Ala polymorphism of peroxisome proliferator activated receptor .GAMMA.2 gene and gestational diabetes mellitus: a meta-analysis","year":2016,"lang":"en","type":"article","venue":"Zhonghua weichan yixue zazhi","topic":"Peroxisome Proliferator-Activated Receptors","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Meta-analysis; Allele; Internal medicine; Genotype; Gestational diabetes; Medicine; Peroxisome proliferator-activated receptor; Genetic model; Endocrinology; Gastroenterology; Oncology; Bioinformatics; Biology; Gene; Genetics; Receptor; Gestation; Pregnancy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000694892,0.0004765191,0.001075806,0.0003691243,0.0001482673,0.00005583236,0.000309067,0.000517538,0.0003450199],"category_scores_gemma":[0.0004893708,0.0003509514,0.0006316896,0.0006517884,0.0001554877,0.00005113916,0.0001736175,0.0001799193,0.00002666309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001178733,"about_ca_system_score_gemma":0.0001585045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001933568,"about_ca_topic_score_gemma":0.00001446949,"domain_scores_codex":[0.9968192,0.0004104311,0.000703455,0.0008832528,0.0005765683,0.0006070834],"domain_scores_gemma":[0.9978679,0.0001794604,0.0006785551,0.0005418753,0.0004569897,0.0002752309],"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":[0.0000661065,0.00009176556,0.08487339,0.00002689234,0.04368115,4.559272e-7,0.00008363675,0.000004136984,0.8701507,0.00002290612,0.0003809711,0.0006178489],"study_design_scores_gemma":[0.0007895888,0.0002605945,0.006970921,0.000009965134,0.01281758,0.000001136993,0.00002348996,0.000007941499,0.9755785,0.00008045841,0.003007598,0.0004522082],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941083,0.002150431,0.0005011028,0.001606,0.000105613,0.0005255822,0.0009085683,0.00005434722,0.00004007499],"genre_scores_gemma":[0.9953425,0.0003350037,0.001245203,0.0001321983,0.000393476,0.0002141154,0.0004855316,0.00007550094,0.001776496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1054278,"threshold_uncertainty_score":0.9998943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01826504872026296,"score_gpt":0.2425593179813564,"score_spread":0.2242942692610934,"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."}}