{"id":"W2187071864","doi":"10.33549/physiolres.930000.52.689","title":"Gender-specific genetic determinants of blood pressure and organ weight: pharmacogenetic approach.","year":2003,"lang":"en","type":"article","venue":"Physiological Research","topic":"Birth, Development, and Health","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Hôtel-Dieu de Montréal","funders":"Canadian Institutes of Health Research; Akademie Věd České Republiky; Grantová Agentura České Republiky","keywords":"Locus (genetics); Blood pressure; Pharmacogenetics; Biology; Autosomal dominant polycystic kidney disease; Endocrinology; Internal medicine; Kidney; Genetics; Genotype; Medicine; Gene","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005834762,0.0008648038,0.0005609941,0.0009031193,0.0002969945,0.0002179196,0.0004458474,0.0004457452,0.003096403],"category_scores_gemma":[0.0005214248,0.0001907328,0.0008141059,0.000889512,0.0003353143,0.0001257901,0.0003847928,0.0004272519,0.0001270771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002326893,"about_ca_system_score_gemma":0.0003307075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001903296,"about_ca_topic_score_gemma":0.003019927,"domain_scores_codex":[0.9994926,0.0001989181,0.00001638356,0.0001838031,0.00006543077,0.00004275239],"domain_scores_gemma":[0.9996889,0.0001379256,0.00007692039,0.00003485849,0.00001471922,0.0000466864],"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":[0.003589395,0.0007163924,0.3614256,0.0003663608,0.002239967,0.004343248,0.0005346484,0.002241718,0.5680887,0.003622373,0.0007866066,0.05204504],"study_design_scores_gemma":[0.0003258266,0.001611215,0.9409851,0.00005703618,0.0032072,0.005042749,0.0002245783,0.01049546,0.03004679,0.002323579,0.005618395,0.00006214395],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799592,0.0008417765,0.01543464,0.0001956546,0.00002823956,0.0001010768,0.00210598,0.00007741985,0.00125576],"genre_scores_gemma":[0.9807279,0.0007061118,0.01593748,0.0001615318,0.00002272951,0.0001550175,0.00092787,0.00004091479,0.001320495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003096403,"threshold_uncertainty_score":0.01035851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2245718835141151,"score_gpt":0.4133590098011878,"score_spread":0.1887871262870727,"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."}}