{"id":"W2095179437","doi":"10.1145/1753846.1754114","title":"Investigating user account control practices","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Privilege (computing); Control (management); Malware; Human–computer interaction; Limit (mathematics); Face (sociological concept); User experience design; Computer security; World Wide Web; Internet privacy; Artificial intelligence","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":[0.0002824267,0.00008284384,0.00007842627,0.00005918707,0.0000997605,0.0001848084,0.0005532902,0.00005733928,0.00004888681],"category_scores_gemma":[0.0008439356,0.0000702574,0.00002421567,0.0001903746,0.00005669612,0.001671405,0.0001158882,0.0002871982,0.00006336511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001052788,"about_ca_system_score_gemma":0.00004108006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005822978,"about_ca_topic_score_gemma":0.00006538545,"domain_scores_codex":[0.9992628,0.00002341654,0.0001382147,0.0002481519,0.0001681561,0.0001592368],"domain_scores_gemma":[0.9989233,0.0001693559,0.0002534427,0.0004706283,0.0001121065,0.00007115654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000001902887,0.00004007683,0.003367002,0.00000869192,0.00001228019,0.000006412443,0.0001661671,0.00002262495,0.4767551,0.4553603,0.002459245,0.06180023],"study_design_scores_gemma":[0.0006127629,0.0001351512,0.005798855,0.00001226281,0.000008167604,0.0001240386,0.00004744439,0.04718885,0.5788124,0.09200012,0.2746906,0.0005694263],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01520778,0.00000479461,0.9744961,0.002248002,0.0003564923,0.0001345857,3.384696e-7,0.0013581,0.006193866],"genre_scores_gemma":[0.5593668,7.908931e-7,0.4388356,0.001431155,0.00005602478,0.00002244847,8.965645e-8,0.00000458982,0.0002826006],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.544159,"threshold_uncertainty_score":0.2865014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01649607058211089,"score_gpt":0.2988249647417001,"score_spread":0.2823288941595892,"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."}}