{"id":"W4387773923","doi":"10.1145/3623507","title":"Proceedings of the 15th ACM SIGPLAN International Workshop on Virtual Machines and Intermediate Languages","year":2023,"lang":"en","type":"paratext","venue":"","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Defence and Security Accelerator; Atlantic Canada Opportunities Agency; UK Research and Innovation; HORIZON EUROPE Framework Programme; Government of the United Kingdom; European Commission; Intel Corporation","keywords":"Computer science; Implementation; Programming language; Virtual machine; Focus (optics); Software engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004706322,0.001923922,0.001631664,0.001380541,0.001355253,0.006592672,0.002206704,0.001465164,0.1004554],"category_scores_gemma":[0.007739891,0.001204601,0.001503714,0.001718773,0.001953387,0.006916043,0.003175499,0.007150584,0.03614416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001614635,"about_ca_system_score_gemma":0.004389827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009170338,"about_ca_topic_score_gemma":0.01465002,"domain_scores_codex":[0.9973688,0.0009858604,0.0002052125,0.0004424269,0.0007054666,0.0002922678],"domain_scores_gemma":[0.9946219,0.002070991,0.0001540552,0.001045732,0.001255032,0.0008523591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004097054,0.0003371019,0.0006275559,0.000356463,0.00005623044,0.0002072701,0.0004802055,0.001838968,0.002182755,0.028781,0.7754691,0.1892536],"study_design_scores_gemma":[0.00006173059,0.00006886708,0.0003644649,0.0002048472,0.00003182264,0.0001787513,0.0001477939,0.003653372,0.001012548,0.01733084,0.9769197,0.0000252064],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01140248,0.04457231,0.5153531,0.03966109,0.07889969,0.001012283,0.00605608,0.01046579,0.2925773],"genre_scores_gemma":[0.04575907,0.036586,0.2106184,0.005264921,0.01496946,0.00114208,0.0201374,0.007653474,0.6578693],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1004554,"threshold_uncertainty_score":0.3360568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01453529002021796,"score_gpt":0.2696756186514809,"score_spread":0.2551403286312629,"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."}}