{"id":"W3170079927","doi":"10.1038/s41467-021-23470-9","title":"Genome sequencing unveils a regulatory landscape of platelet reactivity","year":2021,"lang":"en","type":"article","venue":"Nature Communications","topic":"Platelet Disorders and Treatments","field":"Medicine","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Université de Montréal; Université Laval; University of Ottawa; University of Calgary; Providence Health Care","funders":"National Center for Research Resources; National Institute of General Medical Sciences; National Human Genome Research Institute; National Heart, Lung, and Blood Institute; Medical Research Council; National Institute on Aging; National Blood Foundation; University of Bristol; European Commission; Broad Institute; National Institute of Diabetes and Digestive and Kidney Diseases; Johns Hopkins University; National Institutes of Health; U.S. Department of Health and Human Services","keywords":"Genome-wide association study; Expression quantitative trait loci; Locus (genetics); Biology; Quantitative trait locus; Genetics; Gene; Platelet activation; Phenotype; Genome; Regulator; Bioinformatics; Computational biology; Single-nucleotide polymorphism; Platelet; Immunology","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":[0.0001060729,0.00009124723,0.0002623284,0.00006773854,0.0001003149,0.00000701872,0.0001877978,0.0002051479,0.00005402752],"category_scores_gemma":[0.0001331794,0.00008392998,0.00008895405,0.0003044771,0.00006710474,0.000062651,0.0001317125,0.0005349994,0.00001131746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007741211,"about_ca_system_score_gemma":0.0002792561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001655458,"about_ca_topic_score_gemma":0.0001535045,"domain_scores_codex":[0.9993553,0.0000622068,0.0001719655,0.0001432867,0.0001455298,0.0001217154],"domain_scores_gemma":[0.9979801,0.0001286764,0.00008834655,0.001545266,0.0001944896,0.00006311167],"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":[0.0002346226,0.003447444,0.1021617,0.0002889705,0.001779236,0.001002174,0.002293757,0.0000300689,0.853766,0.01641522,0.003474115,0.01510675],"study_design_scores_gemma":[0.005026028,0.0001945772,0.7822119,0.0003216135,0.0005128836,0.001606514,0.001270449,0.0005025751,0.08180175,0.00169155,0.1243865,0.000473608],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9600275,0.01491708,0.000008832005,0.002035666,0.00003828367,0.0001473957,0.0000400391,0.0000419462,0.02274324],"genre_scores_gemma":[0.9944891,0.0010898,0.003364963,0.0002559849,0.00001500318,0.00001171033,0.0004173341,0.00001318407,0.0003429486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7719643,"threshold_uncertainty_score":0.3422565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02499245994515519,"score_gpt":0.2969018566216673,"score_spread":0.2719093966765121,"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."}}