{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006608412,0.000184214,0.0002573616,0.00008796912,0.0006291994,0.000183533,0.0005789306,0.0001931312,0.001508932],"category_scores_gemma":[0.000181806,0.0001893472,0.00008534321,0.0005254967,0.0003818017,0.0005131658,0.00008187501,0.0002206418,0.0002750809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001088699,"about_ca_system_score_gemma":0.0002793516,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03426242,"about_ca_topic_score_gemma":0.0380814,"domain_scores_codex":[0.998062,0.0003617298,0.0003372197,0.000508566,0.000398548,0.0003319062],"domain_scores_gemma":[0.9985998,0.0001735598,0.0001686111,0.0005617568,0.0002745301,0.0002217014],"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":[0.00006622928,0.0008728586,0.1340605,0.0002099926,0.0002448082,0.00001003739,0.729961,0.00001942241,0.0002047817,0.007163784,0.003951795,0.1232348],"study_design_scores_gemma":[0.001154169,0.0002561211,0.03667591,0.0004402334,0.0004313917,0.000001173012,0.04628253,0.001096617,0.002190119,0.1918528,0.718298,0.001320899],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98504,0.007620496,0.0009510011,0.0008599937,0.0002155498,0.0004576759,0.00002007773,0.0001612816,0.004673937],"genre_scores_gemma":[0.9970121,0.001808489,0.0003611075,0.0001175795,0.0003415239,0.00005793325,0.00001233075,0.00001536854,0.0002736071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7143462,"threshold_uncertainty_score":0.9994038,"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."}}