{"id":"W2922567366","doi":"10.1038/s41587-019-0094-2","title":"Publisher Correction: Federated discovery and sharing of genomic data using Beacons","year":2019,"lang":"en","type":"erratum","venue":"Nature Biotechnology","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":1,"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":"","keywords":"Beacon; Data sharing; Computer science; Computational biology; World Wide Web; Data science; Information retrieval; Biology; Telecommunications; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007222951,0.001882353,0.001856457,0.004331597,0.005476417,0.006721872,0.004417676,0.008148232,0.04979298],"category_scores_gemma":[0.08951603,0.001214036,0.001425409,0.003816432,0.00379793,0.003128038,0.002860529,0.01375499,0.03698802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005434028,"about_ca_system_score_gemma":0.008408269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01645143,"about_ca_topic_score_gemma":0.01973508,"domain_scores_codex":[0.98971,0.001449625,0.001621194,0.001326493,0.00528741,0.0006053202],"domain_scores_gemma":[0.9411618,0.01366338,0.00241571,0.005093102,0.03592368,0.00174238],"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":[0.00002112148,0.000005172199,0.00005166433,0.00009576762,0.000009874595,0.0003054917,0.00008051601,0.00006503834,0.00007958215,0.002932908,0.9880085,0.008344267],"study_design_scores_gemma":[0.0000116973,0.0000117263,0.0001811618,0.000178348,0.00002272818,0.0004304759,0.00006797727,0.0002187824,0.0004826106,0.001867707,0.9965017,0.00002519608],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0002233742,0.0008919058,0.00340364,0.04189384,0.9440897,0.00002978022,0.001125703,0.0009742277,0.007367886],"genre_scores_gemma":[0.02588498,0.01025498,0.02813618,0.09704269,0.2224191,0.000411203,0.006716702,0.005059315,0.6040748],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04979298,"threshold_uncertainty_score":0.1665741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03396855639616888,"score_gpt":0.2874596493283246,"score_spread":0.2534910929321557,"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."}}