{"id":"W4387010279","doi":"10.1109/tdsc.2023.3317806","title":"iCAT+: An Interactive Customizable Anonymization Tool Using Automated Translation Through Deep Learning","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Dependable and Secure Computing","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ericsson (Canada); Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Computer science; Usability; Artificial intelligence; Information retrieval; Convolutional neural network; Data mining; Human–computer interaction","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004603733,0.0002588782,0.0002593181,0.0003672361,0.000922467,0.0003824287,0.002534858,0.0002070293,0.00001441302],"category_scores_gemma":[0.0002162311,0.0002769275,0.00006361838,0.001502789,0.00005642289,0.002369662,0.0002860278,0.0006079977,0.00002843953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001019767,"about_ca_system_score_gemma":0.00005202475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001286852,"about_ca_topic_score_gemma":0.00003090092,"domain_scores_codex":[0.9978899,0.000211024,0.0003769124,0.0007422495,0.0002986793,0.000481202],"domain_scores_gemma":[0.9979014,0.000344285,0.0001615475,0.001426336,0.0001025704,0.00006385712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003896411,0.00011876,0.0000499283,0.00005801373,0.00007819527,0.00004107734,0.002672288,0.7893685,0.00752845,0.0001739094,0.0003017464,0.1995702],"study_design_scores_gemma":[0.0004743901,0.0001062589,0.00004435562,0.00008685001,0.00002264997,0.00005272824,0.0003012711,0.9858192,0.009766888,0.002820343,0.0001990024,0.000306071],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1211881,0.00005053898,0.8727226,0.0004640534,0.0004411756,0.0002373742,0.000007739383,0.0047871,0.0001013372],"genre_scores_gemma":[0.7953224,0.00005451734,0.2044765,0.00004963113,0.00002760249,0.000006795043,0.00002129272,0.00002800062,0.00001320838],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6741343,"threshold_uncertainty_score":0.9999683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03981700160834613,"score_gpt":0.3062175476504594,"score_spread":0.2664005460421133,"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."}}