{"id":"W4416962116","doi":"10.1109/pst65910.2025.11268862","title":"Assessing Privacy Practices on Ontario Municipal 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":"Natural Sciences and Engineering Research Council of Canada","keywords":"Information privacy; Privacy policy; Personally identifiable information; Government (linguistics); Privacy by Design; Data Protection Act 1998; Information privacy law; Data sharing; FTC Fair Information Practice","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002531362,0.000389935,0.0004294831,0.0003420485,0.002784706,0.003136751,0.001764471,0.0004656079,0.006039498],"category_scores_gemma":[0.006942867,0.0003819961,0.0001914499,0.001154104,0.0004403691,0.005019128,0.001343645,0.001162526,0.0007415953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001151698,"about_ca_system_score_gemma":0.002435971,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5116711,"about_ca_topic_score_gemma":0.5761209,"domain_scores_codex":[0.9957917,0.0009569486,0.0006451487,0.0009566772,0.0008245683,0.0008249407],"domain_scores_gemma":[0.9964179,0.001087896,0.0008572675,0.001220573,0.0002004244,0.0002159696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001111777,0.006981476,0.1143615,0.000683749,0.001209532,0.00009300912,0.216852,0.0000487605,0.001794249,0.4053934,0.1086023,0.1428683],"study_design_scores_gemma":[0.0007609985,0.0002391988,0.0268052,0.0004063447,0.0002142691,0.000001655167,0.02470872,0.0006091602,0.0009492468,0.02696878,0.9177612,0.0005752187],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3947993,0.0005289299,0.000609292,0.01392247,0.002987013,0.0007256027,0.000005803249,0.0001800053,0.5862415],"genre_scores_gemma":[0.9576462,0.0005390942,0.001621278,0.001547891,0.0005462415,0.00003230894,0.0000184575,0.00001555882,0.03803299],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.809159,"threshold_uncertainty_score":0.9998632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08817695366474548,"score_gpt":0.3983297583266866,"score_spread":0.3101528046619411,"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."}}