{"id":"W2128349406","doi":"10.1093/ije/dyu188","title":"DataSHIELD: taking the analysis to the data, not the data to the analysis","year":2014,"lang":"en","type":"article","venue":"International Journal of Epidemiology","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":306,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research Canada; Ontario Institute for Cancer Research; Ontario Genomics; McGill University Health Centre","funders":"Economic and Social Research Council; Medical Research Council; European Commission; Wellcome Trust","keywords":"Pooling; Computer science; Data science; Confidentiality; Biomedicine; Intellectual property; Sample (material); Health care; Computer security; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","open_science","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.02944823,0.0001791335,0.0004366479,0.0001859587,0.0004137357,0.00007558946,0.01024412,0.00005948114,0.001729183],"category_scores_gemma":[0.01797248,0.00007431417,0.0002034455,0.0009373054,0.0003388668,0.0003580204,0.003975572,0.0006686655,0.0004667544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001649342,"about_ca_system_score_gemma":0.00002744614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002566859,"about_ca_topic_score_gemma":0.008344933,"domain_scores_codex":[0.99414,0.002976228,0.001048579,0.0006394962,0.0007759732,0.0004196911],"domain_scores_gemma":[0.9860585,0.0095798,0.001112337,0.003031156,0.00005096018,0.0001672773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001377521,0.00009450889,0.237755,0.00000139139,0.007775079,0.00001993794,0.001492866,0.3657721,0.000239077,0.001070525,0.1277624,0.2578793],"study_design_scores_gemma":[0.00007604338,0.00002307805,0.5267364,0.000005116054,0.0009476159,0.00002629511,0.0002133299,0.04358362,0.000007143169,0.000225101,0.4280776,0.00007871973],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.109434,0.0001534708,0.3677559,0.5196652,0.0008797261,0.0003686526,0.0006806283,0.000008456901,0.001053989],"genre_scores_gemma":[0.9190935,0.0001599397,0.002319021,0.07725553,0.0008439269,0.000008747562,0.0002152109,0.00001041705,0.0000936401],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8096595,"threshold_uncertainty_score":0.9993873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1859755049886715,"score_gpt":0.4278748453258764,"score_spread":0.2418993403372049,"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."}}