{"id":"W2108648985","doi":"10.1111/jlme.12036","title":"Privacy and Anonymity Challenges When Collecting Data for Public Health Purposes","year":2013,"lang":"en","type":"article","venue":"The Journal of Law Medicine & Ethics","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children's Hospital of Eastern Ontario; Agricultural Research Institute of Ontario; University of Ottawa","funders":"","keywords":"Anonymity; Geospatial analysis; Internet privacy; Public health; Identification (biology); Masking (illustration); Health data; Health care; Confidentiality; Protected health information; Data science; Computer science; Business; Computer security; Medicine; Health policy; HRHIS; Geography; Political science; Nursing","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"],"consensus_categories":[],"category_scores_codex":[0.1993481,0.00062517,0.001627759,0.003333688,0.009532034,0.02107843,0.004648288,0.0120891,0.002867122],"category_scores_gemma":[0.290616,0.001529406,0.001581458,0.004979238,0.02950751,0.02819172,0.01488746,0.01585278,0.001761068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004628536,"about_ca_system_score_gemma":0.01420948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00305371,"about_ca_topic_score_gemma":0.00188328,"domain_scores_codex":[0.6480879,0.2642865,0.01757782,0.0149971,0.04982315,0.005227509],"domain_scores_gemma":[0.409254,0.469241,0.02524508,0.06897235,0.0227666,0.004521039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003862739,0.0001180145,0.01133894,0.0008394237,0.000181471,0.003811616,0.05556715,0.001866466,0.001563901,0.7720104,0.04075912,0.1115571],"study_design_scores_gemma":[0.0001029358,0.0001182513,0.003069137,0.001950746,0.0001440581,0.006928449,0.02173477,0.00401951,0.004164814,0.756208,0.2013618,0.0001974027],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.05782518,0.009215787,0.2626664,0.5560474,0.002633894,0.0008242988,0.0008536347,0.0004230946,0.1095103],"genre_scores_gemma":[0.7527388,0.006960666,0.1235652,0.09770054,0.004311149,0.001672971,0.0005252463,0.0003280567,0.01219736],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1993481,"threshold_uncertainty_score":0.9873464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.915997858554037,"score_gpt":0.64349162953136,"score_spread":0.2725062290226771,"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."}}