{"id":"W4231261295","doi":"10.32920/ryerson.14663895","title":"Whole program analysis of Java programs for virtual calls and exception handling","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Call stack; Java; Computer science; Exception handling; Stack (abstract data type); Static analysis; Operating system; Virtual machine; Program analysis; Code (set theory); strictfp; Programming language; Real time Java","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":[0.0004324601,0.0001917965,0.0005024531,0.0003426621,0.00007295245,0.0003692481,0.0004949554,0.0002130123,0.000003049327],"category_scores_gemma":[0.00004277299,0.0001812918,0.0002651516,0.0006466945,0.00005155054,0.0001212935,0.0008829398,0.0001551364,2.358836e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002500973,"about_ca_system_score_gemma":0.0000952554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007287276,"about_ca_topic_score_gemma":0.00003748558,"domain_scores_codex":[0.9984335,0.00006659622,0.0004357915,0.0006512115,0.000215126,0.0001977876],"domain_scores_gemma":[0.9986188,0.00006928239,0.0002893721,0.0005569904,0.0003974469,0.00006807196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001027277,0.0004010954,0.002071536,0.000244513,0.001186616,0.000002270376,0.00156389,0.0942525,0.0002902383,0.003134612,0.0003226027,0.8965198],"study_design_scores_gemma":[0.0001290261,0.0001707396,0.000837675,0.00009829304,0.0002257323,7.804236e-7,0.00003114546,0.9966223,0.0008516746,0.0005055447,0.0003056735,0.0002214352],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02877046,0.0001919934,0.9692841,0.000106365,0.0001187484,0.0007230303,0.000004633598,0.0006380475,0.0001626787],"genre_scores_gemma":[0.4106052,0.00004750603,0.5888017,0.00002499503,0.00002291377,0.0001455049,0.0001768652,0.000007070934,0.0001682648],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9023698,"threshold_uncertainty_score":0.7392864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03122120669215638,"score_gpt":0.3103824848866805,"score_spread":0.2791612781945241,"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."}}