{"id":"W2606083779","doi":"10.23889/ijpds.v1i1.165","title":"A review of a standards-based set of information security practices applied in Data Linkage Centers","year":2017,"lang":"en","type":"review","venue":"International Journal for Population Data Science","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Linkage (software); Record linkage; Confidentiality; Business; Standardization; Population; Public relations; Knowledge management; Internet privacy; Computer security; Computer science; Political science; Medicine; Environmental health; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.07794357,0.001005154,0.002182724,0.03441483,0.002471369,0.008551059,0.003421074,0.003089984,0.001522029],"category_scores_gemma":[0.165298,0.001533851,0.002738388,0.03988545,0.004348939,0.009164408,0.003933281,0.003617442,0.0004613417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01426534,"about_ca_system_score_gemma":0.0413063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01525117,"about_ca_topic_score_gemma":0.03005191,"domain_scores_codex":[0.8930759,0.04838583,0.03415716,0.003055526,0.02002349,0.001302229],"domain_scores_gemma":[0.6731635,0.2205536,0.04033362,0.00751996,0.0563978,0.002031516],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001330587,0.0001433603,0.005849524,0.1868088,0.0005533355,0.0003241256,0.01185352,0.0006734042,0.0009780902,0.01377269,0.01386808,0.7650421],"study_design_scores_gemma":[0.00004128036,0.000332333,0.01784345,0.6314749,0.001478105,0.001192821,0.008495343,0.0004186428,0.001614806,0.002706185,0.3342777,0.0001244537],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003965001,0.9788041,0.003797666,0.007961058,0.0005473791,0.0003315608,0.0002373487,0.00004726159,0.004308641],"genre_scores_gemma":[0.02955577,0.9551399,0.01129316,0.002570832,0.000192773,0.0005014034,0.000404769,0.00003919478,0.0003021591],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9220564,"threshold_uncertainty_score":0.4122099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.657427594685601,"score_gpt":0.6472529292939032,"score_spread":0.01017466539169776,"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."}}