{"id":"W4285342473","doi":"10.2196/34472","title":"Privacy of Study Participants in Open-access Health and Demographic Surveillance System Data: Requirements Analysis for Data Anonymization","year":2022,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Zürcher Hochschule für Angewandte Wissenschaften; University of Bern","keywords":"Computer science; Data sharing; Event (particle physics); Data anonymization; Matching (statistics); Data mining; Data science; Information privacy; Internet privacy; Medicine; Statistics; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","open_science"],"consensus_categories":[],"category_scores_codex":[0.1251188,0.0004781404,0.001201872,0.001961292,0.002202126,0.004246944,0.002594859,0.001952514,0.00171011],"category_scores_gemma":[0.2831666,0.0006189476,0.001362271,0.002579932,0.002476004,0.007303214,0.005645412,0.001924739,0.0004276541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002598873,"about_ca_system_score_gemma":0.005657255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002169307,"about_ca_topic_score_gemma":0.001131003,"domain_scores_codex":[0.828076,0.1232619,0.01375002,0.007658559,0.02437788,0.002875668],"domain_scores_gemma":[0.5516914,0.3312807,0.02927156,0.06031957,0.02408867,0.003348166],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002630077,0.0008098985,0.2119189,0.003915498,0.000638426,0.003222734,0.04023434,0.06155349,0.01307599,0.2916286,0.01478715,0.355585],"study_design_scores_gemma":[0.0002744009,0.001661486,0.07507672,0.00246283,0.0004967299,0.007669169,0.03570964,0.5042414,0.02418407,0.2579285,0.0900005,0.0002946664],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2448227,0.001063289,0.7156861,0.0141343,0.0001921237,0.007417292,0.004256668,0.0003905521,0.01203696],"genre_scores_gemma":[0.8125536,0.0003992314,0.1802225,0.0005550556,0.0001043405,0.003200785,0.002237026,0.0000601778,0.0006673008],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9974051,"threshold_uncertainty_score":0.6616993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3046362983359385,"score_gpt":0.4493416360728926,"score_spread":0.144705337736954,"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."}}