{"id":"W4403839511","doi":"10.3390/electronics13214228","title":"A Narrative Review of Identity, Data and Location Privacy Techniques in Edge Computing and Mobile Crowdsourcing","year":2024,"lang":"en","type":"review","venue":"Electronics","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Crowdsourcing; Narrative; Identity (music); Enhanced Data Rates for GSM Evolution; Computer science; Internet privacy; Data science; World Wide Web; Computer security; Telecommunications; Art; Aesthetics","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":[],"consensus_categories":[],"category_scores_codex":[0.003070022,0.0001921861,0.0007483361,0.000175082,0.0001902605,0.0001307142,0.0007387904,0.0001901891,0.000004749225],"category_scores_gemma":[0.001013071,0.0001790931,0.00004186636,0.001021774,0.0001444998,0.0005651708,0.001307909,0.0005677756,0.00000221181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002643183,"about_ca_system_score_gemma":0.000887719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003588389,"about_ca_topic_score_gemma":0.001230729,"domain_scores_codex":[0.9980533,0.0004546663,0.000512499,0.000478421,0.0002415399,0.0002595947],"domain_scores_gemma":[0.998907,0.0001176293,0.0003276622,0.0005097725,0.00009403352,0.00004393128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[7.276113e-7,0.00002024743,0.000003163886,0.07799099,0.00002712617,0.000001241934,0.005390354,1.170893e-8,4.728443e-7,0.001418137,0.001006811,0.9141407],"study_design_scores_gemma":[0.0000265599,0.00004284314,6.806183e-7,0.07183032,0.00022423,0.000008253228,0.0002952882,0.00002548142,0.000001854366,0.001686329,0.9256951,0.0001631176],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003109352,0.9975415,0.0004333064,0.0001023046,0.00007336197,0.001553494,0.00002414848,0.00006211402,0.0001786704],"genre_scores_gemma":[0.0002318528,0.9990207,0.0003079198,0.00002321085,0.0001516264,0.00005624228,0.0001733087,0.00001822091,0.00001690689],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9246882,"threshold_uncertainty_score":0.7303206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05319181137652249,"score_gpt":0.4186590287534715,"score_spread":0.365467217376949,"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."}}