{"id":"W4407938296","doi":"10.1109/ecrime66200.2024.00011","title":"Exploring Content Concealment in Email","year":2024,"lang":"en","type":"article","venue":"","topic":"Personal Information Management and User Behavior","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Content (measure theory); World Wide Web; Internet privacy; Mathematics","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":[0.007348143,0.0003356746,0.0004313802,0.002235965,0.0006905658,0.002003614,0.0005938434,0.001070036,0.0008427041],"category_scores_gemma":[0.04869216,0.0002654866,0.0003836303,0.001880278,0.001176439,0.002639131,0.001280699,0.0008388374,0.0003234377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001191618,"about_ca_system_score_gemma":0.0005997113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0037097,"about_ca_topic_score_gemma":0.003509613,"domain_scores_codex":[0.9947996,0.003310647,0.0003129107,0.0006474725,0.0006354811,0.0002937868],"domain_scores_gemma":[0.9259488,0.05633003,0.008597536,0.00585798,0.002668055,0.0005976601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001285077,0.0008991492,0.786593,0.0005110325,0.0002867545,0.0007023514,0.01344572,0.02327706,0.007485257,0.02072006,0.002711011,0.1420834],"study_design_scores_gemma":[0.00005069839,0.0006734328,0.5157301,0.0002652963,0.0003556861,0.001663865,0.01096441,0.4123069,0.01414661,0.03227711,0.01142059,0.0001450491],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814731,0.0002595905,0.01668114,0.0002390402,0.000008339744,0.0000613604,0.0003440214,0.0000663885,0.0008669406],"genre_scores_gemma":[0.9922769,0.00008789827,0.00686741,0.00003258221,0.000009703324,0.00003025078,0.0003469884,0.000009567294,0.0003386423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007348143,"threshold_uncertainty_score":0.03886122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9108867522394414,"score_gpt":0.5112816953038946,"score_spread":0.3996050569355468,"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."}}