{"id":"W2119971862","doi":"10.1155/2009/543746","title":"Peroxisome Proliferator‐Activated Receptor Gamma Polymorphisms and Coronary Heart Disease","year":2009,"lang":"en","type":"article","venue":"PPAR Research","topic":"Peroxisome Proliferator-Activated Receptors","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fondation de France; Queen's University; Institut National de la Santé et de la Recherche Médicale; Queen's University Belfast; Economic and Social Research Council; University of Bern; Donald W. Reynolds Foundation","keywords":"Peroxisome proliferator-activated receptor gamma; Single-nucleotide polymorphism; Internal medicine; Medicine; Allele; Genotype; SNP; Haplotype; Diabetes mellitus; Obesity; Risk factor; Case-control study; Endocrinology; Peroxisome proliferator-activated receptor; Gastroenterology; Genetics; Gene; Receptor; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002987994,0.000535839,0.0009519573,0.0009126715,0.0002391442,0.0006628481,0.0004799421,0.0006708912,0.001284159],"category_scores_gemma":[0.005603096,0.0004244138,0.001584618,0.001513739,0.000301378,0.0003188648,0.0004180693,0.0007232223,0.000117571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002506762,"about_ca_system_score_gemma":0.0003296105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001779984,"about_ca_topic_score_gemma":0.00238384,"domain_scores_codex":[0.9981897,0.0008960933,0.00016773,0.0003537435,0.0002908464,0.0001018005],"domain_scores_gemma":[0.9969432,0.001921844,0.0006676192,0.0001954608,0.0001515108,0.0001202855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01231516,0.0001565631,0.9191536,0.001921489,0.03176472,0.001127284,0.0001355981,0.00108234,0.004008985,0.0002954045,0.0007684459,0.02727043],"study_design_scores_gemma":[0.001523001,0.001691465,0.9460759,0.0005544944,0.04050837,0.002573748,0.0001189199,0.00162952,0.001343084,0.001068415,0.002871377,0.00004176872],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8723133,0.1238179,0.001506099,0.0006219702,0.0001166752,0.00003791301,0.0004953107,0.00002637353,0.001064264],"genre_scores_gemma":[0.9784474,0.01987383,0.0007360117,0.0001879438,0.0001616049,0.00002326517,0.0003167123,0.000003758498,0.00024953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002987994,"threshold_uncertainty_score":0.0158022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03118141140498668,"score_gpt":0.3263280718660482,"score_spread":0.2951466604610615,"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."}}