{"id":"W1980353549","doi":"10.2202/1544-6115.1711","title":"Principal Components of Heritability for High Dimension Quantitative Traits and General Pedigrees","year":2012,"lang":"en","type":"article","venue":"Statistical Applications in Genetics and Molecular Biology","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; McGill University","funders":"","keywords":"Principal component analysis; Heritability; Pedigree chart; Variance (accounting); Estimator; Statistics; Context (archaeology); Dimension (graph theory); Linear discriminant analysis; Mathematics; Econometrics; Computer science; Biology; Genetics","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":[0.0002959012,0.0001324257,0.0002407275,0.0000396438,0.00005789904,0.000003642775,0.00007206923,0.0001713001,0.000002364736],"category_scores_gemma":[0.0001626014,0.0001239414,0.00002751356,0.00005455116,0.0003097942,0.000001648418,0.0001087892,0.00005425091,3.361277e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007947237,"about_ca_system_score_gemma":0.00002003754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003985447,"about_ca_topic_score_gemma":0.00002751268,"domain_scores_codex":[0.998919,0.0001211851,0.0003276927,0.0003137881,0.00004124631,0.0002771399],"domain_scores_gemma":[0.9994508,0.0001416495,0.00009586043,0.000130497,0.00008305802,0.0000981307],"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":[0.00005599101,0.0002116995,0.1397956,0.00004728053,0.00005241077,8.655706e-8,0.00008777196,0.00003572337,0.6499993,0.2042875,0.00003887256,0.005387853],"study_design_scores_gemma":[0.00086169,0.0006756408,0.9531442,0.000004732334,0.00005454891,0.000004976114,0.0001109253,0.0007457825,0.01179219,0.02878888,0.003553031,0.0002634047],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7362469,0.001431657,0.2615346,0.00006026059,0.00002259901,0.0003910357,0.0002785448,0.00000232886,0.00003198261],"genre_scores_gemma":[0.8220809,0.0002295939,0.1769869,0.00006389558,0.00003186491,0.0001590083,0.0004319164,0.00001036995,0.000005625475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8133486,"threshold_uncertainty_score":0.5054185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02106082610958771,"score_gpt":0.3340524076844505,"score_spread":0.3129915815748628,"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."}}