{"id":"W1690451494","doi":"10.1007/978-3-540-69132-7_76","title":"Enabling Reputation-Based Trust in Privacy-Enhanced Learning Systems","year":2008,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Reputation; Computer security; Information privacy; Internet privacy; Human–computer interaction; Law","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":[0.006616273,0.0005408548,0.001242278,0.0005521631,0.001556693,0.005610669,0.003222167,0.002658707,0.003802221],"category_scores_gemma":[0.02511189,0.0006618892,0.0008542097,0.0007746713,0.002179385,0.01155005,0.006832735,0.004109646,0.001302841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001595944,"about_ca_system_score_gemma":0.001392956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001012004,"about_ca_topic_score_gemma":0.0009359804,"domain_scores_codex":[0.9932121,0.002614875,0.000502967,0.000966237,0.001893856,0.0008100286],"domain_scores_gemma":[0.98122,0.00851418,0.001419905,0.005882604,0.002088362,0.0008748728],"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":[0.0009865145,0.0005585133,0.002469939,0.0003954604,0.0001887251,0.0007893057,0.00180015,0.1822383,0.01662902,0.5888701,0.008258465,0.1968155],"study_design_scores_gemma":[0.00006667769,0.0001611488,0.0003786108,0.00003662312,0.00005344969,0.0003072537,0.0001589181,0.7220615,0.01021787,0.2592385,0.007252736,0.00006670859],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04660459,0.0006366503,0.9390209,0.001709759,0.0001750124,0.0001254867,0.00007333682,0.001040252,0.01061405],"genre_scores_gemma":[0.93204,0.0002668123,0.061618,0.0001141443,0.0001042803,0.00005221493,0.00006594419,0.00007624605,0.005662286],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006616273,"threshold_uncertainty_score":0.03499067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0258058138966333,"score_gpt":0.2566142604271524,"score_spread":0.2308084465305191,"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."}}