{"id":"W1527411603","doi":"10.1002/9780470015902.a0021466.pub2","title":"Molecular Genetics of Polygenic Hypertension","year":2017,"lang":"en","type":"other","venue":"Encyclopedia of Life Sciences","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Epistasis; Quantitative trait locus; Genetic architecture; Biology; Genetics; Mendelian inheritance; Modularity (biology); Computational biology; Gene; Trait; Candidate gene; Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003134111,0.0003005656,0.0002141177,0.0005659404,0.0001877931,0.0004890272,0.000284327,0.0004410351,0.001753479],"category_scores_gemma":[0.0003262345,0.0001167773,0.0002588599,0.000363391,0.0005750667,0.0001945842,0.0003239244,0.0004026393,0.0002234338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002907873,"about_ca_system_score_gemma":0.0003163129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001422726,"about_ca_topic_score_gemma":0.0009446066,"domain_scores_codex":[0.9997308,0.000087759,0.00001288413,0.00007233317,0.00005902569,0.00003729583],"domain_scores_gemma":[0.9997944,0.0000727989,0.00005857622,0.00002200546,0.00001889131,0.00003334365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003205681,0.0001061346,0.05291258,0.0003422211,0.0005022621,0.004774795,0.0002703495,0.004142994,0.7926269,0.08459728,0.002799657,0.05660413],"study_design_scores_gemma":[0.0002627795,0.0007467851,0.6336811,0.0002348246,0.0009095289,0.01895373,0.0005615452,0.03626328,0.09198917,0.1693498,0.04690251,0.0001449597],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9133063,0.01177046,0.05516624,0.005594423,0.0002914736,0.00006139815,0.0007679987,0.0005971325,0.01244463],"genre_scores_gemma":[0.9907898,0.002793529,0.003729991,0.0003016867,0.0001110591,0.00001744783,0.0002064451,0.00001716998,0.002032886],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.001753479,"threshold_uncertainty_score":0.005865991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01787143207773404,"score_gpt":0.2768889547975462,"score_spread":0.2590175227198121,"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."}}