{"id":"W4321612638","doi":"10.1007/978-3-031-25734-6_10","title":"No Salvation from Trackers: Privacy Analysis of Religious Websites and Mobile Apps","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Media, Religion, Digital Communication","field":"Arts and Humanities","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Internet privacy; Android (operating system); BitTorrent tracker; Computer science; World Wide Web; Personally identifiable information; Computer security","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":[],"consensus_categories":[],"category_scores_codex":[0.003389355,0.0002447816,0.0003296724,0.001192807,0.0009840797,0.003542902,0.0008510651,0.00102391,0.00403086],"category_scores_gemma":[0.02585731,0.0002420611,0.0005862919,0.001809984,0.001413615,0.005403888,0.001276193,0.001697388,0.0005796592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001259787,"about_ca_system_score_gemma":0.001414741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00671719,"about_ca_topic_score_gemma":0.007586049,"domain_scores_codex":[0.9966718,0.001373523,0.0001088706,0.0003485721,0.001059168,0.0004380954],"domain_scores_gemma":[0.9552551,0.03561467,0.002452316,0.003553696,0.002589798,0.0005345104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.002819846,0.00157891,0.3320466,0.0007995387,0.000439652,0.001424309,0.008913713,0.03169181,0.005374415,0.3575176,0.02828795,0.2291056],"study_design_scores_gemma":[0.0001022333,0.0007049457,0.2227539,0.0003775459,0.0006558327,0.00259808,0.02272522,0.4950937,0.01677404,0.2074696,0.03055289,0.0001921261],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9404092,0.0014693,0.02004218,0.002751186,0.00005606781,0.0001282745,0.002069942,0.0001451138,0.03292878],"genre_scores_gemma":[0.9933961,0.0002044045,0.002928393,0.00009855411,0.00001894532,0.00001884051,0.0007029364,0.00003627658,0.002595603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00671719,"threshold_uncertainty_score":0.01792485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02824938356103851,"score_gpt":0.2461086969282355,"score_spread":0.217859313367197,"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."}}