{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0001667136,0.0003163949,0.0004897975,0.0005807932,0.0001292718,0.0002326363,0.001027847,0.004288254,0.00008000167],"category_scores_gemma":[0.0001956666,0.0002632236,0.00005207336,0.000266332,0.0001814601,0.0006115327,0.002380481,0.003668755,0.00009118515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003263726,"about_ca_system_score_gemma":0.00004021993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004422104,"about_ca_topic_score_gemma":0.00002848553,"domain_scores_codex":[0.9983957,0.000008147385,0.0003024995,0.0007805094,0.000155423,0.0003577514],"domain_scores_gemma":[0.9987569,0.00004811116,0.0003393966,0.0007709797,0.00008183276,0.000002739539],"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":[0.00006815643,0.00003227192,0.0008401818,0.001670659,0.0003323313,0.0001312785,0.000009088751,0.000004755629,0.03228759,0.0009639384,0.9615722,0.00208751],"study_design_scores_gemma":[0.0003036963,0.00001446309,0.0000611724,0.0002357044,0.0001772675,0.00002931317,0.00001808887,0.009453331,0.0009954016,0.0004334424,0.9878402,0.0004378621],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.3966784,0.01004562,0.001059758,0.5751772,0.006703821,0.001895658,0.0005313777,0.0006762276,0.007231907],"genre_scores_gemma":[0.4279592,0.000200521,0.0003380131,0.5606545,0.005453134,0.000003954982,0.002972221,0.0001667146,0.002251792],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03129219,"threshold_uncertainty_score":0.999982,"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."}}