{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","open_science","research_integrity"],"consensus_categories":["open_science","research_integrity"],"category_scores_codex":[0.0005149961,0.0005244987,0.0008611154,0.001089797,0.0001820572,0.0006919335,0.05544576,0.008458849,0.000008306443],"category_scores_gemma":[0.01206865,0.0005148165,0.00006878448,0.001116287,0.0005243139,0.002137618,0.2807941,0.0070111,0.000008937579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000247132,"about_ca_system_score_gemma":0.0005466398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001617541,"about_ca_topic_score_gemma":0.00008835506,"domain_scores_codex":[0.9960451,0.00005147361,0.0005626424,0.002347135,0.000372323,0.0006213759],"domain_scores_gemma":[0.9773392,0.0001360544,0.0006808008,0.02165414,0.0001430857,0.00004671349],"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":[0.000005410351,0.0000280839,0.000154986,0.0001103101,0.0001246335,0.00002151113,0.0000041054,0.00000112638,0.001692041,0.001511007,0.9905696,0.005777189],"study_design_scores_gemma":[0.0006567931,0.0001857221,0.0005006965,0.0007414666,0.0001393545,0.0006467843,0.00006082109,0.2750871,0.00226682,0.04411381,0.6741273,0.001473277],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"methods","genre_scores_codex":[0.00616037,0.0785039,0.2782426,0.09084212,0.5222544,0.002642773,0.001309675,0.008551235,0.01149291],"genre_scores_gemma":[0.06772244,0.01609385,0.8111428,0.002420329,0.003127954,0.00006751298,0.01054746,0.000760808,0.08811682],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5329002,"threshold_uncertainty_score":0.9997303,"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."}}