{"id":"W2559798902","doi":"10.1145/2991079.2991089","title":"LMP","year":2016,"lang":"en","type":"article","venue":"","topic":"Security and Verification in Computing","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Science Foundation Ireland","keywords":"Computer science; Overhead (engineering); Computer security; Memory protection; Security community; Information hiding; Memory management; Operating system; Virtual memory; Artificial intelligence; Overlay","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003901375,0.000535958,0.0002365403,0.0004938709,0.0005111553,0.001110193,0.001094768,0.0005387689,0.04638799],"category_scores_gemma":[0.001703281,0.0002312157,0.0003125985,0.0004160493,0.0003716738,0.001678442,0.001646167,0.0008067606,0.01794044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005448839,"about_ca_system_score_gemma":0.0007238011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006281335,"about_ca_topic_score_gemma":0.001003472,"domain_scores_codex":[0.999479,0.00007140705,0.00003072433,0.0001224283,0.0002273507,0.00006915809],"domain_scores_gemma":[0.9991898,0.0001046319,0.00005795326,0.0004367391,0.0001716543,0.00003917311],"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":[0.0003402984,0.0001180661,0.00142767,0.0003695321,0.00002711064,0.0002760131,0.0001767549,0.004184798,0.04240767,0.0841893,0.1175548,0.748928],"study_design_scores_gemma":[0.00006931573,0.0002497018,0.001599091,0.000120399,0.00003959478,0.0009573389,0.0001015942,0.05682961,0.08222794,0.05514635,0.8026242,0.00003479881],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.03765643,0.001506422,0.6089356,0.002617196,0.0007641088,0.0004123398,0.002838946,0.0476739,0.297595],"genre_scores_gemma":[0.4576782,0.001115078,0.2951096,0.002075525,0.000337837,0.000590278,0.006721892,0.004415637,0.231956],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.953612,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01779015681102057,"score_gpt":0.2320968878653041,"score_spread":0.2143067310542836,"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."}}