{"id":"W4400992667","doi":"10.69554/rpfg8859","title":"Engineering risk-based anonymisation solutions for complex data environments","year":2020,"lang":"en","type":"article","venue":"Journal of data protection & privacy.","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Privacy Analytics (Canada)","funders":"","keywords":"Computer science; Data science; Data mining; Risk analysis (engineering); Medicine","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":[0.01809201,0.0008750883,0.0006564757,0.001729066,0.002679102,0.007022577,0.002987639,0.003578473,0.002499074],"category_scores_gemma":[0.04356103,0.0008154557,0.00155406,0.001398729,0.004510313,0.01054242,0.01249964,0.004407386,0.001039277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002121663,"about_ca_system_score_gemma":0.004155454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00103376,"about_ca_topic_score_gemma":0.001170345,"domain_scores_codex":[0.9775174,0.01195943,0.001704665,0.001635287,0.006053305,0.001129791],"domain_scores_gemma":[0.9690718,0.01530747,0.003347036,0.008079522,0.003560914,0.0006333385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006922932,0.00008089343,0.00194275,0.0004575156,0.0001031331,0.0007556147,0.00346087,0.08589518,0.003123733,0.7904156,0.005412756,0.1082827],"study_design_scores_gemma":[0.0000225907,0.00007894033,0.000443408,0.0005242894,0.00006409399,0.001282824,0.002117992,0.1712667,0.007134879,0.7243642,0.09262413,0.0000759211],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005235545,0.0004965206,0.9831067,0.002926618,0.0001349179,0.0002736037,0.00006207464,0.0002214197,0.007542436],"genre_scores_gemma":[0.2131152,0.001785224,0.776061,0.0008893527,0.0002225154,0.0005608675,0.0002911359,0.0001857525,0.006888957],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01809201,"threshold_uncertainty_score":0.09568083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.677103680939665,"score_gpt":0.4301812455494959,"score_spread":0.2469224353901691,"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."}}