{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008362565,0.00008898666,0.0001167913,0.00001299649,0.0001362874,0.00002331261,0.00005389757,0.00008336734,0.0003530286],"category_scores_gemma":[0.0002819545,0.00006055625,0.0000212417,0.00005226842,0.0001123483,0.00002050475,0.00007999067,0.00004800779,0.000009409663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001009979,"about_ca_system_score_gemma":0.000008631896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002186147,"about_ca_topic_score_gemma":0.00001552607,"domain_scores_codex":[0.9993671,0.00004051996,0.0001867553,0.000189056,0.00008293669,0.0001336543],"domain_scores_gemma":[0.9993495,0.0003100548,0.00004814461,0.0001824634,0.00003404752,0.00007574532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001253681,0.0004291461,0.6801375,0.0001169446,0.00008224509,0.0000181451,0.0005074528,0.000003382528,0.1042025,0.07299046,0.005436166,0.1360636],"study_design_scores_gemma":[0.0004500801,0.00008730616,0.9082047,0.00001086438,0.00003410612,0.00001521797,0.00002909676,0.0001739446,0.0002428306,0.08811811,0.002479627,0.0001541195],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937922,0.0001232317,0.00498036,0.0003847269,0.00004176382,0.0001381045,0.00002805563,0.00003338362,0.0004782086],"genre_scores_gemma":[0.9625505,0.00003935766,0.03694142,0.00004805766,0.00006243291,0.000008083945,5.811556e-7,0.000009086467,0.0003404879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2280673,"threshold_uncertainty_score":0.3865416,"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."}}