{"id":"W4245120523","doi":"10.32920/ryerson.14645904.v1","title":"Hardware Assisted Security Platform","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Security and Verification in Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Embedded system; Exploit; Software; Buffer overflow; Vulnerability (computing); Hardware security module; Software security assurance; Security analysis; Cryptography; Computer security; Computer hardware; Operating system; Security service; Information security","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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0003674742,0.0002556373,0.0003176368,0.0001066896,0.0001829159,0.001175938,0.002024056,0.0003605791,0.000191209],"category_scores_gemma":[0.00008525282,0.0002657621,0.0002183262,0.0003101947,0.00003143991,0.0003272159,0.003767349,0.0008443702,0.00006080973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001129084,"about_ca_system_score_gemma":0.0003978386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001177953,"about_ca_topic_score_gemma":0.00003663657,"domain_scores_codex":[0.9978969,0.000067335,0.000407365,0.0009169034,0.0004185866,0.0002929178],"domain_scores_gemma":[0.997567,0.0001211672,0.0002148905,0.001676519,0.0002938292,0.0001266108],"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":[0.000009213625,0.0008169585,0.001074909,0.00123554,0.0004313228,0.0002989357,0.02043757,0.00144885,0.0002021299,0.7706316,0.03228274,0.1711303],"study_design_scores_gemma":[0.000543984,0.00003908659,0.008449312,0.0005921184,0.00003470596,0.0001590105,0.0006855277,0.8831388,0.006063127,0.05468215,0.04380407,0.00180805],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02034,0.0004615704,0.9384942,0.001375421,0.003448642,0.0002234292,0.000006563074,0.0009987453,0.03465145],"genre_scores_gemma":[0.8751212,0.00004294255,0.1232074,0.0008500154,0.0002663404,0.00002780732,0.00008737564,0.00001379223,0.0003831575],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.88169,"threshold_uncertainty_score":0.9999794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05705392081649299,"score_gpt":0.2885013991000842,"score_spread":0.2314474782835912,"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."}}