{"id":"W2018631261","doi":"10.1109/msp.2011.168","title":"Mobile Devices and Location Privacy: Where Do We Go from Here?","year":2011,"lang":"en","type":"article","venue":"IEEE Security & Privacy","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Transparency (behavior); Internet privacy; Location tracking; Mobile device; Computer science; Information privacy; Computer security; Mobile apps; Business; World Wide Web","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":[0.00765436,0.0006118594,0.0009064297,0.002037088,0.00510432,0.01632985,0.001332016,0.01101882,0.009569761],"category_scores_gemma":[0.02586794,0.0005320642,0.0008977746,0.003395867,0.01885369,0.04648138,0.006491983,0.01278765,0.002324365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003860937,"about_ca_system_score_gemma":0.004357393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006912936,"about_ca_topic_score_gemma":0.00592128,"domain_scores_codex":[0.9910612,0.005867146,0.0002576851,0.0005900603,0.001439558,0.0007843722],"domain_scores_gemma":[0.9755441,0.01710043,0.002121984,0.001349744,0.002851185,0.001032548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001058254,0.00007335069,0.005829401,0.0008452679,0.00006329071,0.0004899711,0.01234403,0.0004456284,0.0001840513,0.7539614,0.06868027,0.1569776],"study_design_scores_gemma":[0.00002306022,0.00007472109,0.003542924,0.004154849,0.00005985616,0.001376061,0.0274744,0.0007257763,0.0002499701,0.5521782,0.4100515,0.00008878444],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.006232757,0.1141682,0.007654145,0.8322629,0.002105299,0.00001575666,0.0001175493,0.00004073371,0.03740258],"genre_scores_gemma":[0.5127452,0.3475564,0.006502844,0.1060736,0.01325422,0.000101036,0.0001821023,0.0001120868,0.0134726],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01632985,"threshold_uncertainty_score":0.04048055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02800320737562475,"score_gpt":0.2904789874402433,"score_spread":0.2624757800646186,"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."}}