{"id":"W2020586665","doi":"10.1210/jc.2003-030553","title":"Genome-Wide Linkage Scan for the Metabolic Syndrome in the HERITAGE Family Study","year":2003,"lang":"en","type":"article","venue":"The Journal of Clinical Endocrinology & Metabolism","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":130,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"U.S. Public Health Service; NIH Clinical Center; National Institutes of Health; Université Laval; National Heart, Lung, and Blood Institute; University of Minnesota; National Center for Research Resources; American Heart Association","keywords":"Genetic linkage; Genetics; Genome Scan; Biology; Quantitative trait locus; Nuclear family; Phenotype; Linkage (software); Candidate gene; Gene; Family aggregation; Genome; Disease; Internal medicine; Medicine; Microsatellite; Allele","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009950211,0.0002251412,0.0008480998,0.00006717366,0.0002502621,0.00001975457,0.001217616,0.0001936426,0.00001460707],"category_scores_gemma":[0.005203567,0.0001055526,0.0004895694,0.0001902865,0.0003529419,0.000006621984,0.000107875,0.0007839437,0.000007203895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006368427,"about_ca_system_score_gemma":0.0001920746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000332403,"about_ca_topic_score_gemma":0.00009441824,"domain_scores_codex":[0.9934497,0.003881139,0.001639139,0.0002554719,0.0002147669,0.0005597103],"domain_scores_gemma":[0.9952924,0.002835009,0.0008489984,0.000736424,0.0002107437,0.0000764545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002211789,0.005854187,0.9081705,0.00003067335,0.008863294,0.0002879182,0.004379367,0.005617556,0.01231223,0.01098745,0.011699,0.02958599],"study_design_scores_gemma":[0.001932272,0.0005611368,0.7847398,0.000001869906,0.000413798,0.0002579233,0.002291164,0.00000748155,0.00005064828,0.0009991559,0.2086445,0.0001002204],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9662778,0.0260741,0.00129669,0.004486277,0.0009096005,0.0006817054,0.000007842985,0.000003291669,0.0002626737],"genre_scores_gemma":[0.9846514,0.009778674,0.0005538286,0.004095687,0.0006133374,0.00005098902,0.000003000061,0.00002227813,0.0002307437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1969455,"threshold_uncertainty_score":0.6229532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05174578926998177,"score_gpt":0.3592831031317481,"score_spread":0.3075373138617664,"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."}}