{"id":"W1984147133","doi":"10.1159/000096096","title":"Locus-Specific Heritability Estimation via the Bootstrap in Linkage Scans for Quantitative Trait Loci","year":2006,"lang":"en","type":"article","venue":"Human Heredity","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"Canadian Institutes of Health Research; School of Medicine, Boston University","keywords":"Heritability; Quantitative trait locus; Genetics; Trait; Locus (genetics); Biology; Linkage (software); Genetic linkage; Genetic architecture; Evolutionary biology; Computational biology; Gene; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006993513,0.0001284977,0.0001722639,0.00002195316,0.0001892317,0.0000171033,0.0001541705,0.0001823072,0.00003781926],"category_scores_gemma":[0.0001322623,0.0001075848,0.0001067357,0.00007156397,0.0001573834,0.000004059687,0.00002973003,0.0001076,0.000004795836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004396203,"about_ca_system_score_gemma":0.00003153786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003440506,"about_ca_topic_score_gemma":0.002688247,"domain_scores_codex":[0.998847,0.0001663015,0.0003424052,0.0003153413,0.00007330317,0.000255615],"domain_scores_gemma":[0.9993801,0.0001075805,0.0001232458,0.0002757088,0.00008551801,0.0000278407],"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":[0.0004947238,0.002373417,0.3165843,0.0003021781,0.0002679929,0.000008066964,0.001603352,0.1003163,0.3838268,0.02665014,0.1439529,0.02361986],"study_design_scores_gemma":[0.001006971,0.000402452,0.9482963,0.00000858985,0.00001858338,0.00000259736,0.0002793493,0.00653166,0.00227814,0.02657494,0.01430787,0.0002925393],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9183134,0.0003608142,0.07968352,0.0004126205,0.0001120405,0.0004263144,0.00007685554,0.00001177767,0.0006026273],"genre_scores_gemma":[0.9955073,0.00001187064,0.003387883,0.00006783743,0.0003050261,0.0000971577,0.0004251383,0.00001330561,0.0001845021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.631712,"threshold_uncertainty_score":0.4387181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04448857699598985,"score_gpt":0.3186760453409089,"score_spread":0.274187468344919,"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."}}