{"id":"W2098769150","doi":"","title":"Redesigning secure element access control for NFC enabled android smartphones using mobile trusted computing","year":2013,"lang":"en","type":"article","venue":"International Conference on Information Society","topic":"Security and Verification in Computing","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University of Edmonton","funders":"","keywords":"Android (operating system); Computer science; Access control; Trusted Network Connect; Trusted Platform Module; Direct Anonymous Attestation; Trusted Computing; Near field communication; Mobile device; Payment; Computer security; Embedded system; Operating system; World Wide Web; Telecommunications","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0005602213,0.0001951703,0.0001943776,0.0001157307,0.0004367847,0.001727475,0.001134703,0.0001113558,0.0001788586],"category_scores_gemma":[0.00007037808,0.0001954203,0.000162319,0.0002459862,0.00004177883,0.003763942,0.0001845443,0.0001926246,0.00005499774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002063367,"about_ca_system_score_gemma":0.0001819346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005769337,"about_ca_topic_score_gemma":7.803945e-7,"domain_scores_codex":[0.9982087,0.00005179279,0.0006721527,0.0002674108,0.0005008865,0.0002990779],"domain_scores_gemma":[0.9976042,0.0002463904,0.0005482204,0.0002743422,0.001241792,0.00008505987],"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":[0.0001174032,0.0003222876,0.004157956,0.0002791848,0.000648259,9.279973e-7,0.03185058,0.1230694,0.005718711,0.6711228,0.02890519,0.1338072],"study_design_scores_gemma":[0.001200869,0.00005784656,0.0007956977,0.00008117528,0.00000585673,0.000005242163,0.0009371329,0.9891779,0.001380793,0.002749064,0.003382735,0.0002256939],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04363928,0.000009247518,0.9512754,0.001084769,0.000977775,0.0009114418,0.00002253267,0.0001960908,0.001883452],"genre_scores_gemma":[0.9467863,0.00001387596,0.05066063,0.002107865,0.0001621043,0.0001584954,0.0000718149,0.000007048104,0.0000318651],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.903147,"threshold_uncertainty_score":0.9993088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05428025217324518,"score_gpt":0.3251306644494841,"score_spread":0.270850412276239,"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."}}