{"id":"W7133598865","doi":"10.1109/prai67447.2025.11412538","title":"Third-Party Privacy Data Leak Analysis on Ontario Hospital Websites","year":2025,"lang":"","type":"article","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Algoma University; University of Guelph","funders":"","keywords":"Patient privacy; Information privacy; Confidentiality; Data collection; Government (linguistics); Work (physics); Leak","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005342931,0.0003205919,0.0004504311,0.004764285,0.005376196,0.004416809,0.001026441,0.0006511168,0.001542549],"category_scores_gemma":[0.02958099,0.0003499205,0.0005045288,0.009708032,0.002727535,0.00209173,0.002664653,0.0008328247,0.0003300234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03273101,"about_ca_system_score_gemma":0.03557868,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8561829,"about_ca_topic_score_gemma":0.8333116,"domain_scores_codex":[0.9866561,0.001865598,0.0008604744,0.0009614934,0.008310894,0.001345477],"domain_scores_gemma":[0.9478065,0.01405684,0.01152336,0.005171823,0.01968036,0.001761101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000524569,0.0001537422,0.8218689,0.0004810724,0.00009801169,0.002298094,0.05047227,0.001820944,0.004130697,0.005012299,0.009605371,0.1035339],"study_design_scores_gemma":[0.00001883244,0.0001102824,0.8814127,0.0003020925,0.0001112413,0.001077321,0.05706325,0.008741277,0.00597072,0.001546084,0.04349947,0.0001467067],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814994,0.0005304565,0.002716479,0.001280709,0.00001262934,0.0002358793,0.00209061,0.0002414489,0.01139244],"genre_scores_gemma":[0.992889,0.0004414849,0.00198646,0.0001785779,0.000006701057,0.00005489929,0.001157466,0.00003803147,0.003247218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1438171,"threshold_uncertainty_score":0.289328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03598025049035283,"score_gpt":0.3170102325005942,"score_spread":0.2810299820102414,"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."}}