{"id":"W2143112169","doi":"10.1109/dsd.2002.1115391","title":"Hardware implementation of a memory allocator","year":2003,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Allocator; Computer science; Memory management; Embedded system; System on a chip; Task (project management); Memory protection; Computer architecture; Extended memory; Parallel computing; Operating system; Semiconductor memory; Engineering","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":[0.0001659096,0.00004403458,0.0000614583,0.00005417545,0.00002933711,0.00001976057,0.0002134556,0.00001620243,0.00006980493],"category_scores_gemma":[0.00001205946,0.00003995068,0.00002457778,0.0001660519,0.000008784926,0.0001249003,0.00003406532,0.00002115492,0.000007072309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009238473,"about_ca_system_score_gemma":0.00004870351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002574995,"about_ca_topic_score_gemma":0.000003207859,"domain_scores_codex":[0.9995286,0.00004005755,0.0001346195,0.0001167229,0.00009816051,0.0000818086],"domain_scores_gemma":[0.9996359,0.00001616132,0.00005278018,0.0002056528,0.00006420513,0.00002527598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00000140319,0.00008128615,0.003100531,0.00002566129,0.00002644358,0.000002566342,0.001385674,0.002096829,0.001611466,0.9074864,0.02280024,0.06138144],"study_design_scores_gemma":[0.0008228113,0.000202633,0.002438519,0.00001784737,0.000006988952,0.00001713687,0.0004760984,0.04949097,0.9209377,0.009751895,0.01544438,0.0003930237],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002829866,0.00002779655,0.9812431,0.00009909127,0.00005162389,0.00006693356,2.552911e-7,0.000210411,0.01547092],"genre_scores_gemma":[0.5895438,0.000004361519,0.4100282,0.0001409932,0.000003262198,0.000003690997,6.132143e-7,0.000001985997,0.0002731277],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9193262,"threshold_uncertainty_score":0.1629141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01570937817799986,"score_gpt":0.288059361593886,"score_spread":0.2723499834158861,"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."}}