{"id":"W2557073269","doi":"10.1186/s12919-016-0041-x","title":"Identity-by-descent mapping for diastolic blood pressure in unrelated Mexican Americans","year":2016,"lang":"en","type":"article","venue":"BMC Proceedings","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto; George & Fay Yee Centre for Healthcare Innovation; University of Manitoba; Children's Hospital Research Institute of Manitoba","funders":"National Institute of General Medical Sciences; University of Manitoba","keywords":"Identity by descent; Genetics; Genetic association; Population; Genome-wide association study; 1000 Genomes Project; Chromosome; Genetic linkage; Allele; Whole genome sequencing; Biology; Genome; Medicine; Gene; Computational biology; Single-nucleotide polymorphism; Haplotype; Genotype","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":[0.00032216,0.0001334465,0.0001923709,0.00005398085,0.00005956512,0.00001442242,0.00018629,0.0001713683,0.000009954274],"category_scores_gemma":[0.0005585044,0.0001062523,0.00007879249,0.0001344737,0.00006150188,0.000008079021,0.00007603854,0.00005138708,0.00000506647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001590673,"about_ca_system_score_gemma":0.00004573905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004872513,"about_ca_topic_score_gemma":0.00004596896,"domain_scores_codex":[0.9989182,0.00001764408,0.0002656034,0.0003681759,0.0000747267,0.0003556887],"domain_scores_gemma":[0.999539,0.00003150464,0.0001537428,0.00009864408,0.0001050896,0.00007199333],"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":[0.00003636286,0.0000996831,0.3819174,0.00005055357,0.0001149419,1.513153e-7,0.0001198747,0.000004863652,0.6038015,0.0004415825,0.01233918,0.001073922],"study_design_scores_gemma":[0.007776714,0.001171876,0.6052494,0.0002531133,0.0004558506,0.00003047399,0.001018093,0.0004178749,0.1118052,0.004413605,0.2660041,0.001403697],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812534,0.0007335024,0.01643237,0.0006923904,0.0000749966,0.0003575837,0.00004639156,0.00002020577,0.0003890962],"genre_scores_gemma":[0.9943952,0.0002174454,0.003341437,0.0002149035,0.0001203214,0.0001394478,0.00002416512,0.00002132149,0.001525771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4919963,"threshold_uncertainty_score":0.4332842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01981050726004482,"score_gpt":0.2694515316433226,"score_spread":0.2496410243832778,"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."}}