{"id":"W2012799680","doi":"10.1145/1188966.1188974","title":"Utilizing field usage patterns for Java heap space optimization","year":2006,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Jilin University","keywords":"Heap (data structure); Computer science; Java; Overhead (engineering); Distributed computing; Parallel computing; Operating system; Programming language","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":[],"consensus_categories":[],"category_scores_codex":[0.0006603355,0.0007965917,0.0005045721,0.001536633,0.0004951335,0.001015081,0.001281167,0.0002934254,0.001002002],"category_scores_gemma":[0.003375023,0.000424635,0.0003779882,0.00192632,0.0003782811,0.002058032,0.0007858726,0.0004366437,0.0003651397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005686743,"about_ca_system_score_gemma":0.001237962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001400171,"about_ca_topic_score_gemma":0.00290401,"domain_scores_codex":[0.9991861,0.0001429235,0.0001001742,0.0001385005,0.0002984333,0.0001339182],"domain_scores_gemma":[0.9978217,0.0006832115,0.0004712869,0.0006486181,0.000292725,0.00008247512],"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":[0.000910319,0.0003861701,0.02802804,0.0002849743,0.00008548317,0.0001959996,0.0003267889,0.03004863,0.147395,0.005604301,0.003257257,0.7834771],"study_design_scores_gemma":[0.0002740099,0.0009661405,0.02318287,0.0001104165,0.0003002117,0.001258527,0.0005051516,0.4620145,0.4577989,0.01792897,0.03542451,0.0002358096],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5739276,0.001377703,0.4071223,0.0003489459,0.00007993921,0.0001671511,0.000428733,0.01177286,0.0047748],"genre_scores_gemma":[0.8333431,0.0003145261,0.1636096,0.0000990829,0.00004257785,0.0001023857,0.0005168118,0.0005895876,0.00138222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001536633,"threshold_uncertainty_score":0.004126012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01732639786301156,"score_gpt":0.2641926333893178,"score_spread":0.2468662355263062,"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."}}