{"id":"W4293193229","doi":"10.1371/journal.pdig.0000027","title":"A proposed de-identification framework for a cohort of children presenting at a health facility in Uganda","year":2022,"lang":"en","type":"article","venue":"PLOS Digital Health","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Provincial Health Services Authority; BC Children's Hospital; University of British Columbia","funders":"Wellcome Trust","keywords":"Identification (biology); Anonymity; Identifier; Data sharing; Data anonymization; Computer science; Confidentiality; Raw data; Data set; Cohort; Data mining; Medicine; Data science; Computer security; Information privacy; Artificial intelligence","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"],"consensus_categories":[],"category_scores_codex":[0.005526927,0.0001026831,0.0004767034,0.0001328059,0.0002552882,0.0000287596,0.0002079371,0.0001041338,0.00004603155],"category_scores_gemma":[0.01246455,0.000103576,0.0001065746,0.0003988144,0.0001298281,0.00008105545,0.0002897822,0.001254952,0.000005957045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001314823,"about_ca_system_score_gemma":0.002809832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004184316,"about_ca_topic_score_gemma":0.0001838487,"domain_scores_codex":[0.9965593,0.000212531,0.001034612,0.0004804117,0.001137416,0.0005757398],"domain_scores_gemma":[0.9956365,0.002981434,0.0003735036,0.0005031983,0.0001922717,0.0003130618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005383069,0.001488018,0.987922,0.002517868,0.00005085542,0.000001802787,0.001580426,0.00001087051,0.00002854304,0.001581787,0.0002016314,0.004077923],"study_design_scores_gemma":[0.001970723,0.002210876,0.9375525,0.0005981817,0.00001325292,0.00002126978,0.0005072926,0.00117083,0.0005683762,0.05504521,0.0001820659,0.0001594543],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823818,0.0002323489,0.0009226042,0.01142185,0.00004243353,0.003968559,0.0008237002,0.00004551535,0.0001611529],"genre_scores_gemma":[0.9967003,0.00008421881,0.001286641,0.000692089,0.00003908776,0.0002763779,0.0004092383,0.00001972594,0.0004923428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05346342,"threshold_uncertainty_score":0.9958539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2720257659227725,"score_gpt":0.5262686167930402,"score_spread":0.2542428508702677,"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."}}