{"id":"W4414736153","doi":"10.1145/3731569.3764844","title":"CHERIoT RTOS: An OS for Fine-Grained Memory-Safe Compartments on Low-Cost Embedded Devices","year":2025,"lang":"en","type":"article","venue":"","topic":"Security and Verification in Computing","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Air Force Research Laboratory; Natural Sciences and Engineering Research Council of Canada; Engineering and Physical Sciences Research Council; Defense Advanced Research Projects Agency; UK Research and Innovation; Innovate UK; Google","keywords":"Troubleshooting; Key (lock); Current (fluid); Microcontroller; Subject (documents)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001531486,0.001366815,0.0006865305,0.0009834059,0.0005344455,0.001985128,0.00297265,0.0009732753,0.02587484],"category_scores_gemma":[0.005215319,0.0007958293,0.0008199106,0.0005036094,0.001179164,0.004064946,0.003156406,0.00214552,0.0131142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007147827,"about_ca_system_score_gemma":0.001294665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005659409,"about_ca_topic_score_gemma":0.000727852,"domain_scores_codex":[0.9988816,0.0001384844,0.0001095426,0.0001646608,0.0005069643,0.0001987995],"domain_scores_gemma":[0.9978041,0.0005467773,0.0002567478,0.0008834793,0.0003365201,0.0001724695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005585627,0.000591176,0.007936986,0.002367141,0.0004605005,0.001583104,0.001768364,0.01723742,0.1200878,0.09756883,0.3426016,0.4022114],"study_design_scores_gemma":[0.0009521028,0.001233714,0.003307483,0.0006005433,0.0004069494,0.00175914,0.0002666427,0.1526031,0.2372582,0.05866309,0.5424519,0.0004972069],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.03296712,0.002075167,0.4369847,0.0004554917,0.0008350812,0.0005371068,0.002140995,0.4834834,0.04052094],"genre_scores_gemma":[0.6479307,0.002220093,0.1767389,0.002139525,0.0006047873,0.0008959144,0.007616043,0.09266759,0.06918657],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.02587484,"threshold_uncertainty_score":0.08656001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0380296302801077,"score_gpt":0.3376729362054848,"score_spread":0.2996433059253771,"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."}}