{"id":"W3030582159","doi":"10.22215/etd/2020-13903","title":"User Awareness of Privacy Risks Related to the Collection of Fitness Tracker Data","year":2020,"lang":"en","type":"dissertation","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Activity tracker; BitTorrent tracker; Internet privacy; Personally identifiable information; Action (physics); Computer science; Information sensitivity; Tracking (education); Computer security; Psychology; Eye tracking; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01154181,0.0002452572,0.0003566754,0.0007183473,0.001318293,0.002557564,0.0003125568,0.0009880145,0.004457408],"category_scores_gemma":[0.0374603,0.0002493663,0.0004827262,0.0004686536,0.0008303908,0.001916807,0.001442328,0.001105259,0.0005818576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006170172,"about_ca_system_score_gemma":0.001017955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001175417,"about_ca_topic_score_gemma":0.001463433,"domain_scores_codex":[0.9924445,0.00481158,0.0005738655,0.0005142022,0.001325491,0.0003303302],"domain_scores_gemma":[0.9492578,0.03685061,0.006255247,0.003442096,0.003033939,0.001160331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006950028,0.001000491,0.6637487,0.001081328,0.000154739,0.0006090633,0.1157106,0.0003069202,0.01148901,0.001898159,0.002226749,0.2010792],"study_design_scores_gemma":[0.00008803883,0.002775853,0.8531293,0.001352359,0.0003877283,0.002573996,0.07815554,0.003332487,0.009924755,0.003680472,0.04438649,0.0002130102],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817737,0.0003804987,0.005675062,0.001323803,0.0000318672,0.0001358216,0.0001262213,0.00006765692,0.01048542],"genre_scores_gemma":[0.9946648,0.0002382406,0.003309557,0.0003569478,0.00002147084,0.0000913961,0.00007680574,0.000008327437,0.001232507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01154181,"threshold_uncertainty_score":0.06103969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09282852126981661,"score_gpt":0.3891416062230148,"score_spread":0.2963130849531982,"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."}}