{"id":"W2919288702","doi":"10.1038/s41587-019-0046-x","title":"Federated discovery and sharing of genomic data using Beacons","year":2019,"lang":"en","type":"letter","venue":"Nature Biotechnology","topic":"Intellectual Property and Patents","field":"Business, Management and Accounting","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research; McGill University; Ontario Genomics; McGill Genome Centre; March of Dimes Canada","funders":"U.S. National Library of Medicine; National Cancer Institute; Canadian Institutes of Health Research; Horizon 2020 Framework Programme; National Institutes of Health; University of Leicester; Government of Canada; Centre de Regulació Genòmica; European Molecular Biology Laboratory; Universität Zürich; China Scholarship Council; Swiss Institute of Bioinformatics; Genome Canada; European Commission; Broad Institute; National Human Genome Research Institute; Wellcome Trust; McGill University","keywords":"Beacon; Computational biology; Data sharing; Computer science; Data science; Biology; Telecommunications; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.01660359,0.0003729032,0.0005899966,0.0007864143,0.003978952,0.006496189,0.002225264,0.04304576,0.006812208],"category_scores_gemma":[0.04121665,0.0007361802,0.0009451291,0.0008882844,0.005508435,0.007119743,0.005623749,0.01876062,0.005176235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003638688,"about_ca_system_score_gemma":0.004256165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002894647,"about_ca_topic_score_gemma":0.005075728,"domain_scores_codex":[0.9847788,0.00552169,0.0009841134,0.001625478,0.005703784,0.001386099],"domain_scores_gemma":[0.9583216,0.03200481,0.001992387,0.003706428,0.002488107,0.001486772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002397062,0.00009330975,0.00179258,0.0001445603,0.00004429798,0.002600556,0.001317559,0.0005890183,0.005196847,0.2557381,0.6704425,0.06180102],"study_design_scores_gemma":[0.00006977114,0.0000715352,0.0006511842,0.0001320285,0.00001462661,0.0008247739,0.0005852283,0.002185499,0.003342549,0.1228397,0.8692275,0.00005556512],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.003829336,0.002459798,0.01652093,0.9261545,0.006690622,0.0001144131,0.000263327,0.0003048349,0.04366225],"genre_scores_gemma":[0.07812752,0.001921134,0.01244021,0.8313778,0.00711368,0.000379421,0.0003579035,0.0001474659,0.06813478],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9977747,"threshold_uncertainty_score":0.08780921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1164619238198608,"score_gpt":0.249662238947601,"score_spread":0.1332003151277402,"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."}}