{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00102479,0.0001755981,0.0003609209,0.000135542,0.0004783428,0.00005721661,0.002057011,0.0004004044,0.0003925219],"category_scores_gemma":[0.002614867,0.000139468,0.00007467922,0.001301487,0.0000898117,0.0004229193,0.0003198198,0.0003285285,0.00003147946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006311207,"about_ca_system_score_gemma":0.0007106726,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03614809,"about_ca_topic_score_gemma":0.04277386,"domain_scores_codex":[0.9977546,0.0003723884,0.0005426072,0.0004792796,0.0006532219,0.0001979496],"domain_scores_gemma":[0.9978639,0.0001487053,0.0004511791,0.001087878,0.0003601856,0.00008817501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002744437,0.001425429,0.01781045,0.003061365,0.001208484,0.000009926221,0.4381361,0.0001233181,0.003418475,0.04325318,0.4320121,0.05679681],"study_design_scores_gemma":[0.001654325,0.0004500023,0.109386,0.0007018031,0.0008513475,0.000002233102,0.0884418,0.001193183,0.02123734,0.0137956,0.7608511,0.001435208],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9010059,0.001199282,0.003557904,0.01169356,0.008582571,0.00678038,0.001626145,0.0004396431,0.06511456],"genre_scores_gemma":[0.9865798,0.000756413,0.0003841403,0.00006175829,0.0002042994,0.00006451245,0.004475231,0.00003367446,0.007440215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3496943,"threshold_uncertainty_score":0.974693,"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."}}