{"id":"W2565419990","doi":"10.1534/genetics.116.193185","title":"Human Facial Shape and Size Heritability and Genetic Correlations","year":2016,"lang":"en","type":"article","venue":"Genetics","topic":"Morphological variations and asymmetry","field":"Mathematics","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Children's Hospital; University of Calgary","funders":"National Institute of Dental and Craniofacial Research; University of California, San Francisco; National Institutes of Health","keywords":"Heritability; Genetic architecture; Biology; Genetic correlation; Genetic variation; Evolutionary biology; Genetics; Additive genetic effects; Quantitative trait locus; Gene","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":[0.0006180403,0.0002793251,0.0002246934,0.0006981612,0.0002096823,0.0002801589,0.0001250402,0.0001475451,0.001883587],"category_scores_gemma":[0.004902448,0.0001590171,0.0002111082,0.0006463361,0.0005819904,0.0001462836,0.0003851765,0.0002322475,0.0001314469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001555119,"about_ca_system_score_gemma":0.0001113794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004128152,"about_ca_topic_score_gemma":0.003810287,"domain_scores_codex":[0.9995079,0.00017288,0.0000215684,0.0001673816,0.00009679249,0.00003347485],"domain_scores_gemma":[0.998531,0.0008153685,0.0003041149,0.0001958596,0.0001062401,0.00004738384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001676521,0.0000175004,0.9558576,0.00002687589,0.0002956922,0.0003034416,0.0007365469,0.004332437,0.01337576,0.002447031,0.0003305168,0.02210896],"study_design_scores_gemma":[0.000003933076,0.00001770461,0.9954424,0.00000544522,0.00003762914,0.0002055431,0.0000730824,0.002437712,0.0004292327,0.001164694,0.0001753201,0.000007341775],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956028,0.0001949316,0.002993809,0.00005126746,0.000003948466,0.000005357922,0.0002873463,0.00001691449,0.0008435966],"genre_scores_gemma":[0.9992067,0.00004377149,0.0005550694,0.000003672993,0.000002904712,0.000003414346,0.00008911552,0.000003158531,0.00009234242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004128152,"threshold_uncertainty_score":0.008208275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04314345936256372,"score_gpt":0.2906375545776514,"score_spread":0.2474940952150877,"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."}}