{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001791805,0.0001044017,0.0001043802,0.0000867804,0.0001384216,0.0001743501,0.0003881834,0.0000625355,0.00002511974],"category_scores_gemma":[0.0000304201,0.00009925182,0.00005630054,0.0001745054,0.000007235832,0.0002619564,0.0001017337,0.00005086323,0.00000406959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001947181,"about_ca_system_score_gemma":0.00002048661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001480943,"about_ca_topic_score_gemma":0.00001273189,"domain_scores_codex":[0.9991742,0.00002648032,0.0001885699,0.0002810677,0.0001166546,0.0002130729],"domain_scores_gemma":[0.9993727,0.0001344387,0.00006850352,0.0003060128,0.00008375282,0.00003462088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007025095,0.0000945795,0.001678284,0.00003154682,0.000008065836,0.000004187321,0.0001090338,0.7492379,0.0001268039,0.1938997,0.04461155,0.01019133],"study_design_scores_gemma":[0.0001631128,0.00006263179,0.00009761182,0.00001490642,0.000001961685,0.000004018048,0.000006868281,0.9865535,0.008785537,0.001521703,0.002643097,0.0001450375],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0003005842,0.00002934644,0.9825182,0.001845974,0.0001378896,0.0001996279,0.000001088162,0.0008030749,0.01416422],"genre_scores_gemma":[0.2471455,0.000009064402,0.7507287,0.0005701218,0.00007106688,0.00001603424,0.000008355867,0.000007577431,0.001443633],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2468449,"threshold_uncertainty_score":0.4047371,"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."}}