{"id":"W2951992158","doi":"10.48550/arxiv.1508.06525","title":"Runtime Enforcement With Partial Control","year":2015,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Security and Verification in Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Computer science; Enforcement; Set (abstract data type); Security policy; Control (management); Field (mathematics); Distributed computing; Computer security; Programming language; Artificial intelligence; Political science","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"],"consensus_categories":[],"category_scores_codex":[0.0003626036,0.0002490287,0.0002724879,0.0001338766,0.0001568656,0.0001809264,0.001629141,0.0001730999,0.00004183013],"category_scores_gemma":[0.00001732343,0.0002595279,0.00009873794,0.0003384509,0.0000910907,0.0002718565,0.0009274629,0.0004121143,0.0001372478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001987784,"about_ca_system_score_gemma":0.0003806823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001295905,"about_ca_topic_score_gemma":0.000008840983,"domain_scores_codex":[0.9983628,0.0001181377,0.0001832231,0.0008749059,0.0001427398,0.0003181701],"domain_scores_gemma":[0.99806,0.00007033535,0.0002665283,0.001144523,0.0002618438,0.000196767],"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":[0.00005429073,0.00007835187,0.00128539,0.00002897794,0.0001143639,0.0001140271,0.000497036,0.4627025,0.000004010636,0.5340319,0.0007590498,0.0003300286],"study_design_scores_gemma":[0.001054375,0.0000906383,0.0001249894,0.0000558189,0.00005345567,0.000005338797,0.00005111072,0.9777936,0.00007325534,0.01323526,0.007075532,0.0003866164],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04433211,0.00003634268,0.9479915,0.0001367447,0.0005504514,0.0002946432,0.000006920593,0.0002929882,0.006358309],"genre_scores_gemma":[0.9969416,0.00001207576,0.00220304,0.0001817115,0.0001387926,0.000001440767,0.0000102141,0.00001062785,0.0005005461],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9526094,"threshold_uncertainty_score":0.9999857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08277611120474027,"score_gpt":0.1900630448945227,"score_spread":0.1072869336897824,"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."}}