{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008481487,0.0004779431,0.0004672795,0.002083914,0.002311822,0.0006690007,0.0008412111,0.0005175331,0.003235037],"category_scores_gemma":[0.002356169,0.0002298569,0.0006550486,0.003015048,0.0005460992,0.00009398408,0.0005969876,0.0004023109,0.0001258399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004814482,"about_ca_system_score_gemma":0.006383331,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8930489,"about_ca_topic_score_gemma":0.8982251,"domain_scores_codex":[0.9991912,0.0001499662,0.00004497281,0.0002205378,0.0002295413,0.0001636712],"domain_scores_gemma":[0.9990327,0.0002176962,0.0001609537,0.00003865383,0.0003528843,0.0001971203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003729006,0.00005579531,0.9781277,0.00006475752,0.0004234929,0.001390552,0.001083155,0.0003392532,0.004028985,0.0004295401,0.001953538,0.01173039],"study_design_scores_gemma":[0.00003846783,0.00003764846,0.9957873,0.00002300812,0.0001432183,0.0006828621,0.0003947113,0.0004956343,0.0001922082,0.0000663157,0.002126338,0.00001229813],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955178,0.0008951528,0.0003238083,0.00040869,0.00001033302,0.00002753187,0.001212517,0.0000205143,0.001583627],"genre_scores_gemma":[0.9974933,0.0003517272,0.0006538436,0.0001198571,0.000006342716,0.00001625192,0.0007225781,0.000005536359,0.0006306981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1069511,"threshold_uncertainty_score":0.2151619,"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."}}