{"id":"W2148789662","doi":"10.1016/j.jpdc.2007.04.010","title":"Performance of memory reclamation for lockless synchronization","year":2007,"lang":"en","type":"article","venue":"Journal of Parallel and Distributed Computing","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":145,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Land reclamation; Priority inversion; Pointer (user interface); Workload; Concurrency; Data structure; Blocking (statistics); Distributed computing; Parallel computing; Computer network; Operating system; Computer hardware; Dynamic priority scheduling; Quality of service","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":[0.001224434,0.000103501,0.0002751823,0.00009195692,0.0001239923,0.00005594218,0.0002963421,0.00006446159,6.752857e-7],"category_scores_gemma":[0.00007591651,0.00008940473,0.00007336124,0.0002884739,0.00003095875,0.0003624646,0.0000547315,0.00009759998,3.74681e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004441871,"about_ca_system_score_gemma":0.0000607404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003331058,"about_ca_topic_score_gemma":8.526167e-7,"domain_scores_codex":[0.9986486,0.00002768647,0.000756179,0.0001288578,0.0002329761,0.0002057409],"domain_scores_gemma":[0.9982255,0.0001544759,0.0008545712,0.0001318628,0.000549487,0.00008411688],"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":[0.0005825761,0.0004827842,0.04239114,0.001394929,0.0002490953,0.00004254832,0.002243269,0.2983942,0.004349878,0.02521218,0.003125486,0.6215319],"study_design_scores_gemma":[0.001546231,0.0003687663,0.03047768,0.0003410826,0.00002015245,0.0001762989,0.0002088422,0.9645787,0.001080466,0.0003184807,0.0007098143,0.0001735092],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3249575,0.0002668598,0.6743159,0.00007325821,0.0002231581,0.00008081628,0.000007621039,0.00001107654,0.00006376127],"genre_scores_gemma":[0.972165,0.00002176528,0.02762393,0.00001867052,0.000143521,4.712952e-7,0.00001421228,0.00000417477,0.000008263003],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6661845,"threshold_uncertainty_score":0.3645819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01227256843782585,"score_gpt":0.2517639469107619,"score_spread":0.2394913784729361,"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."}}