{"id":"W4200593236","doi":"10.2478/popets-2022-0001","title":"Editors’ Introduction","year":2021,"lang":"en","type":"article","venue":"Proceedings on Privacy Enhancing Technologies","topic":"Information and Cyber Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002468728,0.0001504937,0.0001462432,0.0001973492,0.0001904901,0.0003249825,0.0009532154,0.0001477614,0.00001224908],"category_scores_gemma":[0.001327806,0.000141587,0.00005052911,0.0008235141,0.00004780633,0.001188863,0.0007376772,0.0003403539,0.0001536156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009022977,"about_ca_system_score_gemma":0.00005552956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.322094e-7,"about_ca_topic_score_gemma":4.090277e-7,"domain_scores_codex":[0.9987227,0.000004107731,0.0002556446,0.0004061877,0.0003143969,0.0002969591],"domain_scores_gemma":[0.9990444,0.0000243111,0.0001284842,0.0004177912,0.0003570132,0.00002800877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000004517987,0.00007792459,0.000130567,0.00005590632,0.00001455132,0.000005009163,0.001517309,0.000002429194,0.02211954,0.8216177,0.08943063,0.06502397],"study_design_scores_gemma":[0.0001124236,0.00005201097,0.00008885558,0.00002589114,0.000002218461,0.00003298985,0.0006832025,0.0008269713,0.7798756,0.0289432,0.1891798,0.000176844],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3527147,0.0004233057,0.3124282,0.2431252,0.01809581,0.0006942659,0.000002849175,0.03190393,0.04061167],"genre_scores_gemma":[0.9459649,0.0000628787,0.05230598,0.0003790114,0.001017905,0.00003747634,0.000002131907,0.000009334174,0.0002203765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7926744,"threshold_uncertainty_score":0.5773751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01014848957940963,"score_gpt":0.230734970157399,"score_spread":0.2205864805779894,"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."}}