{"id":"W2347080879","doi":"10.1038/nm.4089","title":"Facilitating a culture of responsible and effective sharing of cancer genome data","year":2016,"lang":"en","type":"article","venue":"Nature Medicine","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":92,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Genomics; McGill University; Princess Margaret Cancer Centre; University of Toronto","funders":"National Cancer Institute; National Institute for Health and Care Research; Cancer Research UK; National Human Genome Research Institute; Howard Hughes Medical Institute","keywords":"Data sharing; Genomic information; Alliance; Data science; Big data; Information sharing; Precision medicine; Computer science; Profiling (computer programming); Genome; Computational biology; Business; Bioinformatics; Knowledge management; Medicine; Biology; Political science; Data mining; Gene; World Wide Web; Genetics; Alternative medicine","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","open_science"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2813346,0.0007977274,0.001201589,0.002854829,0.01651279,0.02952004,0.005944326,0.01269587,0.003713941],"category_scores_gemma":[0.3494003,0.001546164,0.001229786,0.001917285,0.04245616,0.01822124,0.04434459,0.04463762,0.001343182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01339295,"about_ca_system_score_gemma":0.07665143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004372411,"about_ca_topic_score_gemma":0.004519333,"domain_scores_codex":[0.5898257,0.3274075,0.01203753,0.01302379,0.04585994,0.01184565],"domain_scores_gemma":[0.4071801,0.3563766,0.04613382,0.06549545,0.05849601,0.06631786],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001799361,0.0005766729,0.01245056,0.000648953,0.0006165308,0.002455911,0.2924547,0.003783894,0.004781979,0.4919979,0.1120369,0.07801604],"study_design_scores_gemma":[0.0001326355,0.0001764221,0.005093123,0.00132712,0.0001017917,0.002340212,0.08482842,0.004671173,0.003448539,0.5187098,0.3787893,0.0003815068],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0502918,0.001705505,0.1797286,0.7046728,0.004213426,0.0006646193,0.00007806132,0.0005061918,0.05813893],"genre_scores_gemma":[0.8218558,0.001034295,0.06177218,0.09946243,0.002347078,0.0008701803,0.0001236132,0.0005439488,0.01199043],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9940557,"threshold_uncertainty_score":0.8862424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3006690657408355,"score_gpt":0.6068645156619659,"score_spread":0.3061954499211304,"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."}}