{"id":"W4285024120","doi":"10.1007/978-3-031-10684-2","title":"Data and Applications Security and Privacy XXXVI","year":2022,"lang":"en","type":"book","venue":"Lecture notes in computer science","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University; Polytechnique Montréal; University of Toronto","funders":"","keywords":"Computer science; Computer security; Information privacy; Internet privacy","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":[0.0003085171,0.001544337,0.0009041146,0.001767004,0.0008397159,0.003687679,0.0006358451,0.001127349,0.07476875],"category_scores_gemma":[0.0009110989,0.0005434728,0.0005235458,0.003650051,0.0008122409,0.002513081,0.000905752,0.002519725,0.06123216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001272511,"about_ca_system_score_gemma":0.0009530381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001774796,"about_ca_topic_score_gemma":0.002457076,"domain_scores_codex":[0.9996062,0.0000408934,0.0000168052,0.00006930463,0.0002332118,0.00003357905],"domain_scores_gemma":[0.9995551,0.0001710223,0.00002925898,0.00008240435,0.0001185585,0.00004361987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004038313,0.00006359983,0.0001259994,0.0003815528,0.0000125164,0.00009656729,0.0001415252,0.0009425562,0.002582332,0.08985609,0.6577448,0.2480121],"study_design_scores_gemma":[0.000005582148,0.0000258582,0.0003432788,0.000216524,0.000007270183,0.0001959406,0.00003974515,0.001395974,0.0008203051,0.02877213,0.9681689,0.000008619018],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002089937,0.09006828,0.05642506,0.005350202,0.01173012,0.0001551557,0.001733093,0.00152043,0.8309277],"genre_scores_gemma":[0.004553667,0.02208044,0.00443402,0.0006373975,0.001930578,0.00006366747,0.000731515,0.0003341897,0.9652345],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07476875,"threshold_uncertainty_score":0.2501264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03002974534810476,"score_gpt":0.2851870951109125,"score_spread":0.2551573497628077,"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."}}