{"id":"W2029622211","doi":"10.1145/1176617.1176666","title":"An evaluation of secialized Java bytecodes","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced Data Storage Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Java; Computer science; strictfp; Java applet; Operating system; Profiling (computer programming); Java concurrency; Real time Java; Java annotation; Programming language","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006191678,0.000874025,0.0005746385,0.001568979,0.0006904112,0.001928234,0.001788747,0.0008483212,0.002003947],"category_scores_gemma":[0.04225026,0.0004546168,0.0005279983,0.001891756,0.001366785,0.003924713,0.001433132,0.001219395,0.0006652378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001705821,"about_ca_system_score_gemma":0.002400647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004178072,"about_ca_topic_score_gemma":0.002512041,"domain_scores_codex":[0.9856248,0.003629616,0.001279702,0.001063372,0.007237392,0.001165053],"domain_scores_gemma":[0.9408571,0.02296664,0.004510734,0.01154844,0.01887808,0.001238991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01293303,0.003056181,0.04475006,0.003011859,0.0004260855,0.001184418,0.004628013,0.07066983,0.1760644,0.0499775,0.02099057,0.6123081],"study_design_scores_gemma":[0.0008696836,0.01088263,0.0363906,0.0005887077,0.0004238449,0.001475936,0.002160217,0.478666,0.3832693,0.006669918,0.07824548,0.0003576328],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9373214,0.00162448,0.03632963,0.0003692999,0.0003277603,0.0003041123,0.0006424307,0.01072282,0.01235818],"genre_scores_gemma":[0.9627906,0.0005516456,0.03086253,0.000128851,0.00003629839,0.0001045705,0.001057413,0.00121782,0.003250253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006191678,"threshold_uncertainty_score":0.03274518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03331486795191202,"score_gpt":0.3175747182443266,"score_spread":0.2842598502924146,"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."}}