{"id":"W31914259","doi":"10.13201/j.issn.1001-1781.2019.12.005","title":"PEEP- Privacy Enforcement in Email Project.","year":2005,"lang":"en","type":"article","venue":"Conference on Privacy, Security and Trust","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Privacy policy; Computer science; Ontology; Enforcement; Internet privacy; Information privacy; Privacy software; Privacy by Design; Computer security; Personally identifiable information; Law enforcement","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":[0.0003512715,0.0002027891,0.0002054263,0.0001986531,0.000148224,0.0003403493,0.0007315497,0.0001172209,0.0001097699],"category_scores_gemma":[0.0000847897,0.0001921806,0.00004320328,0.0003197444,0.0000614121,0.0007048292,0.0003656249,0.0003442449,0.00008277073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007420163,"about_ca_system_score_gemma":0.0001335064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002348788,"about_ca_topic_score_gemma":0.00021519,"domain_scores_codex":[0.9984816,0.00007935543,0.0002755148,0.000530399,0.0002876091,0.0003454642],"domain_scores_gemma":[0.9991118,0.00005172049,0.00009074577,0.0005835517,0.00005902391,0.0001031482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001070155,0.0006064148,0.008142067,0.0001099483,0.00002890691,0.00003568273,0.03703357,0.00003433257,0.0003968257,0.7685612,0.001922947,0.1830211],"study_design_scores_gemma":[0.007349156,0.002110595,0.05975762,0.0006440282,0.00004016488,0.0001455209,0.001213283,0.374045,0.01696551,0.1827763,0.3524058,0.002546989],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9517587,0.0001835831,0.01049681,0.004582535,0.0004771518,0.0006480971,0.000005643827,0.0002760756,0.03157137],"genre_scores_gemma":[0.9972458,0.0001570906,0.001787505,0.000442225,0.000113234,0.00003474676,0.000004256027,0.000007520372,0.0002076321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5857849,"threshold_uncertainty_score":0.7836897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03584012394909403,"score_gpt":0.277997510615786,"score_spread":0.242157386666692,"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."}}