{"id":"W7010161206","doi":"","title":"Ghost Recommendations: A Protocol for Efficiently Enhancing User Privacy","year":2024,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Blackberry (Canada)","funders":"","keywords":"Protocol (science); Quality (philosophy); Recommender system; Set (abstract data type); Private information retrieval; Information privacy; Cryptography; Key (lock); Cryptographic protocol","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":[0.01704043,0.001376725,0.002039192,0.001834796,0.00418788,0.005472914,0.00506758,0.0071007,0.01694251],"category_scores_gemma":[0.03491837,0.001795244,0.001984471,0.002088359,0.004330854,0.01289008,0.01345235,0.00952864,0.01025774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002433236,"about_ca_system_score_gemma":0.005722156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002485415,"about_ca_topic_score_gemma":0.001909908,"domain_scores_codex":[0.9764251,0.009117879,0.002339097,0.003090342,0.007073451,0.001954126],"domain_scores_gemma":[0.959657,0.01384138,0.001991851,0.01928752,0.003865743,0.001356648],"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":[0.002754874,0.0004493046,0.001919794,0.0007636481,0.0003334388,0.001169036,0.003054059,0.01337324,0.01726593,0.6186102,0.07864033,0.2616661],"study_design_scores_gemma":[0.0009790438,0.0006656618,0.0008176435,0.000398029,0.0002360116,0.001728843,0.0006232884,0.1780849,0.03939949,0.4791701,0.2974012,0.0004957858],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004908595,0.0005104453,0.9622353,0.001972802,0.0005788848,0.001531316,0.000940023,0.008552576,0.01877004],"genre_scores_gemma":[0.3007673,0.001163532,0.6255837,0.003752852,0.0006663737,0.005985975,0.002293061,0.001512102,0.05827516],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01704043,"threshold_uncertainty_score":0.09011948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02545892154457571,"score_gpt":0.2831914327279521,"score_spread":0.2577325111833764,"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."}}