{"id":"W2047816631","doi":"10.1371/journal.pone.0066808","title":"Causal Relationship between Adiponectin and Metabolic Traits: A Mendelian Randomization Study in a Multiethnic Population","year":2013,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Adipokines, Inflammation, and Metabolic Diseases","field":"Medicine","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; First Nations Health and Social Secretariat of Manitoba; Robarts Clinical Trials; Population Health Research Institute; McMaster University","funders":"Ontario Genomics Institute; Canadian Institutes of Health Research; Ontario Genomics; Genome Canada; Hamilton Health Sciences; Heart and Stroke Foundation of Canada; Hamilton Health Sciences Foundation; McMaster University; Pfizer; Eli Lilly and Company","keywords":"Adiponectin; Insulin resistance; Internal medicine; Endocrinology; Mendelian randomization; Single-nucleotide polymorphism; Metabolic syndrome; Population; Body mass index; Insulin; Medicine; Biology; Genotype; Genetics; Obesity; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006446224,0.0008195016,0.001017458,0.0007164263,0.00150173,0.0008766513,0.0009429136,0.0007705064,0.002016943],"category_scores_gemma":[0.009686857,0.0005386567,0.001198355,0.001191417,0.0009843872,0.0002432194,0.0004984289,0.0008157215,0.0001659524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000957949,"about_ca_system_score_gemma":0.001721736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06548262,"about_ca_topic_score_gemma":0.04551717,"domain_scores_codex":[0.994332,0.002994332,0.0002604768,0.001408545,0.0006307366,0.0003740273],"domain_scores_gemma":[0.9944712,0.002099702,0.00103941,0.001558658,0.0003840645,0.0004469185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00542945,0.0002966296,0.9801252,0.00003595744,0.002540176,0.001241366,0.0006472935,0.0004104893,0.002826499,0.0006060677,0.0005144012,0.005326429],"study_design_scores_gemma":[0.001482627,0.00111538,0.9808015,0.00003252772,0.002097582,0.001872543,0.0003434535,0.01015238,0.0004473256,0.0007638907,0.0008443848,0.00004639756],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969335,0.0001761701,0.002314396,0.00009558291,0.0000157309,0.00006427386,0.0001824537,0.0000254979,0.0001923563],"genre_scores_gemma":[0.9979172,0.00006254765,0.001500466,0.0000555621,0.00001233883,0.00004773104,0.0001738973,0.0000128318,0.0002172862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06548262,"threshold_uncertainty_score":0.1302029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06445856401073762,"score_gpt":0.2882885551415083,"score_spread":0.2238299911307706,"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."}}