{"id":"W2128248866","doi":"10.14778/1687627.1687734","title":"k-automorphism","year":2009,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":407,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Popularity; Computer science; Extension (predicate logic); Personally identifiable information; Automorphism; Computer security; Data mining; Theoretical computer science; Mathematics; Discrete mathematics; Programming language","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":[0.003147309,0.001170624,0.001898382,0.001411583,0.00272334,0.00360982,0.001976487,0.002809147,0.006997627],"category_scores_gemma":[0.02057558,0.0008142953,0.003386925,0.001259379,0.005040418,0.008743367,0.006341694,0.00428636,0.005495713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001488464,"about_ca_system_score_gemma":0.002218748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006060633,"about_ca_topic_score_gemma":0.00041228,"domain_scores_codex":[0.9948801,0.001179463,0.0005402142,0.001645408,0.001006848,0.0007479775],"domain_scores_gemma":[0.9796474,0.007429112,0.001598389,0.008787775,0.001816739,0.0007204728],"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":[0.000630856,0.0001941259,0.003641982,0.0005633452,0.0002342329,0.000547422,0.001684479,0.03075872,0.01244976,0.8233978,0.01812693,0.1077703],"study_design_scores_gemma":[0.00006793401,0.0001734329,0.0005031736,0.00005842104,0.00006008905,0.0008628143,0.0002309194,0.04515909,0.01015387,0.9264411,0.01622251,0.00006680098],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08529949,0.000643977,0.8767,0.002138962,0.0003918103,0.0003943824,0.0008312298,0.003171392,0.03042864],"genre_scores_gemma":[0.7756864,0.0008624443,0.200435,0.001257392,0.0003982674,0.0003762157,0.00130225,0.000841552,0.01884047],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006997627,"threshold_uncertainty_score":0.02340937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01853108214018638,"score_gpt":0.2408935676521065,"score_spread":0.2223624855119201,"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."}}