{"id":"W2101645423","doi":"10.1161/01.str.0000138784.68159.a5","title":"Genetic Variation in <i>PPARG</i> Encoding Peroxisome Proliferator-Activated Receptor γ Associated With Carotid Atherosclerosis","year":2004,"lang":"en","type":"article","venue":"Stroke","topic":"Peroxisome Proliferator-Activated Receptors","field":"Biochemistry, Genetics and Molecular Biology","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials; Diabetes Canada; Mount Sinai Hospital; Western University","funders":"Canadian Institutes of Health Research; Canada Research Chairs; Heart and Stroke Foundation of Canada","keywords":"Peroxisome proliferator-activated receptor gamma; Medicine; Genotype; Internal medicine; Allele; Endocrinology; Receptor; Obesity; Phenotype; Peroxisome proliferator-activated receptor; Genetics; Biology; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0002195493,0.0003941176,0.0003382522,0.0001520731,0.0001548548,0.00007036556,0.0002748382,0.0003970483,0.00004360257],"category_scores_gemma":[0.0001955066,0.0003697379,0.00009622436,0.0004537354,0.0001010079,0.00002762828,0.00008227473,0.0003296103,0.00002205154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003186922,"about_ca_system_score_gemma":0.0003002065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009255145,"about_ca_topic_score_gemma":0.0001481276,"domain_scores_codex":[0.9977578,0.0001598171,0.0003970897,0.0007153615,0.0003406612,0.0006292629],"domain_scores_gemma":[0.999025,0.00001820975,0.0002156552,0.0004080878,0.0001588401,0.000174137],"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":[0.0001051835,0.0002138807,0.09232939,0.000009748734,0.0001169049,0.000001226172,0.0002447262,0.001383137,0.9054939,0.00001598943,0.00004974613,0.00003615108],"study_design_scores_gemma":[0.002702691,0.0006071968,0.05169754,0.0001048125,0.00002251022,0.000006585627,0.00009015851,0.00001307127,0.9439038,0.00001341988,0.0003609046,0.0004772911],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997979,0.00007498873,0.0004429086,0.0001302593,0.0002103209,0.000600442,0.00009519752,0.0000841031,0.0003827756],"genre_scores_gemma":[0.9976613,0.0001007522,0.001236511,0.0001732408,0.0002195547,0.0002000494,0.0001377271,0.00009389467,0.0001769596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04063185,"threshold_uncertainty_score":0.9998755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009568711439120749,"score_gpt":0.2153572729715519,"score_spread":0.2057885615324311,"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."}}