{"id":"W2165055255","doi":"10.1161/01.hyp.0000188049.23233.fb","title":"Genome-Wide Scan for Linkage to Obesity-Associated Hypertension in French Canadians","year":2005,"lang":"en","type":"article","venue":"Hypertension","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; McGill University and Génome Québec Innovation Centre; Université du Québec à Chicoutimi","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Locus (genetics); Obesity; Genotyping; Medicine; Population; Genetics; Candidate gene; Genetic linkage; Odds ratio; Overweight; Genome Scan; Gene; Bioinformatics; Internal medicine; Biology; Genotype; Microsatellite","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0004229575,0.0001808176,0.0003117021,0.0001225174,0.0001412718,0.00001116648,0.0001579635,0.0003209031,0.00001309736],"category_scores_gemma":[0.000972825,0.0001776975,0.0001028724,0.0001666948,0.0000235519,0.000003542725,0.00007478743,0.00009950886,0.00003768822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001202328,"about_ca_system_score_gemma":0.0001164363,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00223041,"about_ca_topic_score_gemma":0.02945005,"domain_scores_codex":[0.9985088,0.0000907658,0.0003286971,0.0004654597,0.00009301177,0.0005132515],"domain_scores_gemma":[0.9991416,0.00007079397,0.00007993075,0.0003156535,0.0002003547,0.0001916587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00006227831,0.0004545053,0.3086816,0.00001624113,0.00009029117,0.0000168981,0.0002180837,0.005156395,0.6003857,0.0000127063,0.07876612,0.006139116],"study_design_scores_gemma":[0.0009637866,0.0002864526,0.9071296,0.00002073854,0.00002619779,0.00001358331,0.00007005522,0.0015374,0.002020544,0.00004379459,0.08758843,0.0002994116],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942718,0.0003445573,0.0009238729,0.003434606,0.0001545209,0.0004329117,0.00004111341,0.00001647585,0.000380135],"genre_scores_gemma":[0.9874431,0.0001107,0.003835926,0.00670798,0.0002355136,0.00005232065,0.0004033631,0.00003123556,0.001179869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.598448,"threshold_uncertainty_score":0.98826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01573693829202538,"score_gpt":0.2301839888607109,"score_spread":0.2144470505686855,"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."}}