{"id":"W2182591795","doi":"10.11575/prism/30596","title":"Access Control Policy Analysis with a Visualization Tool for Social Network Systems","year":2011,"lang":"en","type":"article","venue":"Open MIND","topic":"Internet Traffic Analysis and Secure E-voting","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Usability; Visualization; Access control; Human–computer interaction; Compromise; Graph drawing; Information visualization; Control (management); Social network (sociolinguistics); Process (computing); Task (project management); Computer security; World Wide Web; Data mining; Artificial intelligence; Social media; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0005406601,0.0001175597,0.000331807,0.0001369896,0.0002058323,0.001041351,0.001240612,0.00005469123,0.0000881319],"category_scores_gemma":[0.00001640569,0.00009090637,0.0001232431,0.001102866,0.00002061895,0.0006064028,0.000157727,0.00004195611,0.00001571837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003461976,"about_ca_system_score_gemma":0.00009538871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002282501,"about_ca_topic_score_gemma":0.0003818616,"domain_scores_codex":[0.9988459,0.00008551798,0.0002786282,0.0003527116,0.0001680065,0.0002692583],"domain_scores_gemma":[0.9993457,0.000045337,0.0002327051,0.0001578452,0.0001759809,0.00004242018],"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":[0.0002976317,0.0002948989,0.008431334,0.00002740732,0.005170954,0.00002053159,0.01661142,0.119389,0.00000827582,0.7949913,0.002460465,0.05229677],"study_design_scores_gemma":[0.0005202223,0.00007430417,0.001007641,0.00001302204,0.0003730953,0.000001588937,0.00007005853,0.9956634,0.00001431244,0.00001802658,0.002076301,0.0001680197],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01987252,0.0000131743,0.9772239,0.00006849089,0.00006906626,0.0004214575,0.000005493066,0.000005766676,0.002320088],"genre_scores_gemma":[0.9924154,4.001042e-7,0.006667427,0.00009703067,0.0003051389,0.00004715785,0.00001396027,0.000007496887,0.0004459344],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9725429,"threshold_uncertainty_score":0.9999956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0496258847169738,"score_gpt":0.3338324741341803,"score_spread":0.2842065894172064,"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."}}