{"id":"W1565483410","doi":"10.1007/11907503_12","title":"Auditing and Inference Control for Privacy Preservation in Uncertain Environments","year":2006,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Saint Mary's University; Dalhousie University","funders":"","keywords":"Computer science; Inference; Context (archaeology); Ubiquitous computing; Audit; Control (management); Point (geometry); Bayesian network; Context management; Data science; Human–computer interaction; Computer security; Internet privacy; Artificial intelligence","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":[0.007822699,0.0008112936,0.001727558,0.001011912,0.001418566,0.004170971,0.003067593,0.001581078,0.002567331],"category_scores_gemma":[0.02790402,0.001026394,0.001653698,0.001313497,0.003838127,0.00853586,0.004178836,0.005059775,0.0003817593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00174355,"about_ca_system_score_gemma":0.002781492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002555928,"about_ca_topic_score_gemma":0.001968755,"domain_scores_codex":[0.9917475,0.002578917,0.0008570642,0.001485234,0.00252935,0.0008020358],"domain_scores_gemma":[0.9686657,0.01840881,0.001489006,0.00904687,0.001990415,0.0003991794],"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":[0.00106425,0.0001746786,0.002107355,0.0003173315,0.000196896,0.0003500145,0.0008158675,0.3157091,0.004933968,0.4687654,0.004139346,0.2014257],"study_design_scores_gemma":[0.00002546729,0.00004283592,0.0002369679,0.00003045429,0.00004291783,0.0001119145,0.00006190709,0.733236,0.004415299,0.2601762,0.001595027,0.00002508168],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008848744,0.0003737585,0.9884688,0.0003722158,0.00006800795,0.00004758182,0.00007868623,0.0003660183,0.001376069],"genre_scores_gemma":[0.7181225,0.0006417473,0.2750675,0.0002221174,0.0002617031,0.0001652087,0.0002857439,0.0001437001,0.005089793],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007822699,"threshold_uncertainty_score":0.04137087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03143484862959922,"score_gpt":0.2632148215243259,"score_spread":0.2317799728947267,"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."}}