{"id":"W2413926262","doi":"10.1161/circresaha.116.308716","title":"Role of Adiponectin in Coronary Heart Disease Risk","year":2016,"lang":"en","type":"article","venue":"Circulation Research","topic":"Adipokines, Inflammation, and Metabolic Diseases","field":"Medicine","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Aging; Medical Research Council; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Government of the United Kingdom; London School of Hygiene and Tropical Medicine; Universidade de São Paulo; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; University College London; Ciência sem Fronteiras; McGill University","keywords":"Adiponectin; Mendelian randomization; Odds ratio; Internal medicine; Confidence interval; Genome-wide association study; Medicine; Cardiology; Single-nucleotide polymorphism; Endocrinology; Genetics; Biology; Insulin resistance; Genotype; Obesity; Genetic variants; Gene","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":[0.003804977,0.0006653094,0.0002928846,0.0007329125,0.0001906117,0.0006941606,0.0008046458,0.000615527,0.002348359],"category_scores_gemma":[0.007584473,0.0001922084,0.0003377538,0.000819645,0.0009066465,0.0002486759,0.0005519376,0.0007420456,0.0003752395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002205506,"about_ca_system_score_gemma":0.0004284561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009094814,"about_ca_topic_score_gemma":0.0004584778,"domain_scores_codex":[0.9985928,0.0008698262,0.00008418766,0.0002077339,0.000199941,0.00004550133],"domain_scores_gemma":[0.9965662,0.00200871,0.0008334673,0.0002106668,0.0002112267,0.0001697028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003290819,0.0001611787,0.9294407,0.0008400324,0.0007467741,0.000330319,0.0001228803,0.001320388,0.003657409,0.001338385,0.001414448,0.05733664],"study_design_scores_gemma":[0.0004394726,0.001535168,0.9762701,0.0006212007,0.001672871,0.001751037,0.00009583517,0.003733008,0.002034195,0.005677847,0.006127237,0.00004210566],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8374239,0.1256273,0.01196597,0.01313393,0.0004852802,0.0003012147,0.002419862,0.0001159902,0.008526611],"genre_scores_gemma":[0.9818557,0.01201373,0.003937014,0.0007272879,0.0005396571,0.00008633179,0.0004295662,0.000007668558,0.0004029586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003804977,"threshold_uncertainty_score":0.02012289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0405727330994058,"score_gpt":0.3502135742479582,"score_spread":0.3096408411485524,"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."}}