{"id":"W4285802645","doi":"10.1101/2022.07.15.500230","title":"A community driven GWAS summary statistics standard","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Global Health Research","funders":"National Human Genome Research Institute; Research England; University of Bristol; National Institute for Health and Care Research; Medical Research Council; European Molecular Biology Laboratory; National Institutes of Health; University Hospitals Bristol NHS Foundation Trust; European Bioinformatics Institute","keywords":"Metadata; Interoperability; Computer science; Summary statistics; Genome-wide association study; File format; Data file; Data science; Data sharing; Key (lock); Field (mathematics); Information retrieval; Data mining; World Wide Web; Database; Statistics; Mathematics; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.08368711,0.001244011,0.001296583,0.008971021,0.001596196,0.007958654,0.005446327,0.003739802,0.02059086],"category_scores_gemma":[0.1792989,0.001713013,0.001791113,0.01034053,0.001517277,0.005656952,0.006444807,0.004240429,0.02207087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0024744,"about_ca_system_score_gemma":0.01019843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004667007,"about_ca_topic_score_gemma":0.003363179,"domain_scores_codex":[0.9498697,0.0173319,0.01319197,0.004772756,0.01303929,0.001794371],"domain_scores_gemma":[0.7528275,0.0786049,0.01264465,0.07370851,0.07726955,0.004944858],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001244227,0.0004299503,0.0179706,0.00122903,0.0002339504,0.0007503044,0.00102671,0.005558277,0.007524391,0.2063867,0.5558622,0.2017838],"study_design_scores_gemma":[0.0003802275,0.0002530519,0.007979759,0.0009014772,0.00009722008,0.001077227,0.000403817,0.01454239,0.01210206,0.08600508,0.8759933,0.0002643724],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005688401,0.0003124603,0.8236823,0.004872624,0.001113434,0.00303812,0.1019423,0.04412851,0.01522192],"genre_scores_gemma":[0.04121882,0.0005178663,0.7428582,0.003390023,0.001063645,0.006906306,0.1850905,0.009374817,0.009579829],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9163129,"threshold_uncertainty_score":0.4425851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01657540998813707,"score_gpt":0.2531073156081421,"score_spread":0.2365319056200051,"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."}}