{"id":"W2802587671","doi":"10.1371/journal.pgen.1007306","title":"One for all and all for One: Improving replication of genetic studies through network diffusion","year":2018,"lang":"en","type":"article","venue":"PLoS Genetics","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; National Institute of Mental Health; National Institute on Aging; National Center for Advancing Translational Sciences; University of Southern California; Wellcome Trust; National Human Genome Research Institute; University of California, San Diego; National Institutes of Health; National Center for Research Resources; University of Pennsylvania; National Institute of Neurological Disorders and Stroke; Northern California Institute for Research and Education; Canadian Institutes of Health Research; Foundation for the National Institutes of Health","keywords":"Genome-wide association study; Biology; Computational biology; Genetic association; Replication (statistics); Disease; Biological network; Gene regulatory network; Genome; Gene; Genetics; Computer science; Bioinformatics; Single-nucleotide polymorphism; Medicine; Genotype","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.07690219,0.001724562,0.002283917,0.003998808,0.002348748,0.004598951,0.003535008,0.002908767,0.004497165],"category_scores_gemma":[0.3031564,0.001081964,0.002321648,0.004260445,0.002859484,0.01123796,0.006528326,0.003832929,0.001516895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001795315,"about_ca_system_score_gemma":0.003547868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004583288,"about_ca_topic_score_gemma":0.004875533,"domain_scores_codex":[0.9609137,0.02905118,0.001534817,0.005399991,0.002454133,0.0006462694],"domain_scores_gemma":[0.734497,0.1785941,0.0102331,0.05789581,0.01471546,0.004064599],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002953347,0.0005299671,0.2126016,0.002238587,0.006506072,0.001279708,0.004012042,0.09395064,0.02949134,0.07653691,0.02157918,0.5483205],"study_design_scores_gemma":[0.0008898335,0.0007654245,0.0405336,0.0006540969,0.001831905,0.001060857,0.0008687266,0.4752217,0.0150488,0.4368681,0.02586762,0.0003892997],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1093095,0.002666122,0.8629106,0.01309412,0.001172027,0.0004841105,0.001468655,0.004398456,0.004496486],"genre_scores_gemma":[0.6282641,0.0009448329,0.3639707,0.001669453,0.0004617939,0.0007801051,0.001620956,0.001062127,0.001225978],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9230978,"threshold_uncertainty_score":0.4067025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04632189524710151,"score_gpt":0.2924722626829123,"score_spread":0.2461503674358108,"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."}}