{"id":"W1536982521","doi":"10.1111/ahg.12077","title":"Global Genetic Architecture of an Erythroid Quantitative Trait Locus,<i>HMIP-2</i>","year":2014,"lang":"en","type":"article","venue":"Annals of Human Genetics","topic":"Hemoglobinopathies and Related Disorders","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Institutes of Health; University of Oxford; King's College London; Wellcome Trust; British Heart Foundation; Foreign and Commonwealth Office; Medical Research Council; British Society for Haematology; Commonwealth Scholarship Commission; National Institute for Health and Care Research","keywords":"Biology; Genetics; Locus (genetics); Haplotype; Allele; Fetal hemoglobin; Population; Quantitative trait locus; Expression quantitative trait loci; Genetic architecture; Evolutionary biology; Gene; Genotype; Single-nucleotide polymorphism; Fetus","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":[0.0001848972,0.000205039,0.0004748766,0.00009263591,0.00006176493,0.000007662383,0.000189749,0.0001835591,0.00007588851],"category_scores_gemma":[0.00005997583,0.0001753867,0.0001853749,0.0002309492,0.0003810526,0.00002158666,0.00004304517,0.0001500792,0.000006160349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007032115,"about_ca_system_score_gemma":0.00007041395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006778094,"about_ca_topic_score_gemma":0.00007487299,"domain_scores_codex":[0.9984578,0.00009953947,0.0005132081,0.0002737711,0.000340635,0.0003150819],"domain_scores_gemma":[0.9988146,0.00003198528,0.0002154327,0.0004624478,0.0002787623,0.0001967656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00228393,0.007485348,0.06187554,0.004277718,0.002604941,0.0001770525,0.01711324,0.03838005,0.2803996,0.03090732,0.01765928,0.536836],"study_design_scores_gemma":[0.01349628,0.05447736,0.5745735,0.001589131,0.00154188,0.0004458247,0.004994302,0.006590616,0.1922012,0.1118731,0.03586835,0.002348426],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990275,0.002891551,0.0009336785,0.0005308517,0.00006549498,0.0002539811,0.00005348502,0.00002739417,0.00496859],"genre_scores_gemma":[0.9937024,0.0003597274,0.00505719,0.0006624982,0.00007173706,0.000002814302,0.00003337488,0.00002738904,0.00008292262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5344875,"threshold_uncertainty_score":0.715206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03092684542289349,"score_gpt":0.3284355504361336,"score_spread":0.2975087050132402,"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."}}