{"id":"W1989292852","doi":"10.1038/ejhg.2014.196","title":"Genomic cloud computing: legal and ethical points to consider","year":2014,"lang":"en","type":"article","venue":"European Journal of Human Genetics","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Ontario Institute for Cancer Research; Wellcome Trust","keywords":"Cloud computing; Computer science; Confidentiality; Data science; Health Insurance Portability and Accountability Act; Server; Data breach; Service (business); Service provider; Big data; Key (lock); Computer security; World Wide Web; Data mining; Business","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":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.009873774,0.0001235876,0.0003421135,0.000127895,0.000121953,0.00007482707,0.0002750731,0.0001158546,0.00008512531],"category_scores_gemma":[0.005956961,0.0001038217,0.00009744156,0.00006512702,0.0003423524,0.000009979369,0.0003315005,0.003181141,0.0001182849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003288635,"about_ca_system_score_gemma":0.0001472086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.477286e-7,"about_ca_topic_score_gemma":0.000004492584,"domain_scores_codex":[0.9971465,0.0008650487,0.0008231938,0.000206713,0.0006964702,0.0002620138],"domain_scores_gemma":[0.9965132,0.001724752,0.0002135404,0.0003211536,0.0006080702,0.000619214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002525473,0.001270571,0.1589645,0.001491253,0.001334819,0.0103827,0.01409536,0.0008072719,0.3919514,0.185425,0.1410231,0.09072851],"study_design_scores_gemma":[0.009709815,0.01861673,0.7721666,0.001564608,0.0003320205,0.003642607,0.0004031004,0.0005600264,0.005399249,0.0204587,0.1664563,0.0006902685],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9743305,0.0002180378,0.002480223,0.01135758,0.0002845168,0.00009854026,7.521239e-7,0.00001042059,0.01121944],"genre_scores_gemma":[0.9755543,0.00009124941,0.01416935,0.007984369,0.001591171,5.05451e-8,4.889453e-7,0.00004660788,0.0005623961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.613202,"threshold_uncertainty_score":0.9991186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2745851763603759,"score_gpt":0.4965735975544888,"score_spread":0.2219884211941129,"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."}}