{"id":"W2021080349","doi":"10.1145/2451512.2451541","title":"A modular approach to on-stack replacement in LLVM","year":2013,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Interrupt; Computer science; Compiler; Modular design; Operating system; Stack (abstract data type); Call stack; Virtual machine; Code (set theory); Embedded system; Function (biology); Parallel computing; Programming language; Point (geometry); Interrupt handler","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":[],"consensus_categories":[],"category_scores_codex":[0.0001977096,0.00008454175,0.00009254798,0.0001496671,0.00003246003,0.0001181724,0.0005196231,0.00003056769,0.00001971483],"category_scores_gemma":[0.00001938273,0.00007114806,0.00002080331,0.0003563371,0.000005852012,0.0001446909,0.000188613,0.00006529581,0.0002284951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004054581,"about_ca_system_score_gemma":0.00001478521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009368271,"about_ca_topic_score_gemma":9.70915e-7,"domain_scores_codex":[0.9991208,0.00003869563,0.0001585337,0.0003308099,0.0001608108,0.0001903812],"domain_scores_gemma":[0.9993311,0.00001855882,0.0000235078,0.0005115158,0.00004152091,0.00007380981],"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":[0.00001203148,0.0008640719,0.0009863636,0.0000180729,0.00001396126,0.000003402532,0.001953578,0.3942633,0.0004300617,0.4270895,0.1501681,0.02419759],"study_design_scores_gemma":[0.0001299039,0.0001010469,0.00125775,0.000009182909,1.969616e-7,0.000001200385,0.00001129128,0.99371,0.0006917447,0.001945966,0.002017655,0.0001240387],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005357021,0.000004341774,0.9010987,0.000941107,0.00003299629,0.0003082551,6.902949e-8,0.0003487457,0.09190873],"genre_scores_gemma":[0.3622213,0.000001614808,0.6340638,0.001741338,0.000009304541,0.00006536589,6.719353e-7,0.000003793359,0.001892877],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5994467,"threshold_uncertainty_score":0.2936918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01896194641510464,"score_gpt":0.2461187165480304,"score_spread":0.2271567701329258,"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."}}