{"id":"W2786902291","doi":"10.1002/cpe.4475","title":"High‐contention mutual exclusion by elevator algorithms","year":2018,"lang":"en","type":"article","venue":"Concurrency and Computation Practice and Experience","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Mutual exclusion; Thread (computing); Critical section; Algorithm; Software; Parallel computing; Concurrency; Operating system; Theoretical computer science","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":[0.001156799,0.0004628296,0.0006216345,0.00069182,0.0009227779,0.001058308,0.001929882,0.0005031569,0.003595778],"category_scores_gemma":[0.00338629,0.0002500091,0.0004414038,0.0007407375,0.00067977,0.001603007,0.001751967,0.00108782,0.0007052668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001047504,"about_ca_system_score_gemma":0.001445044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001617609,"about_ca_topic_score_gemma":0.00236183,"domain_scores_codex":[0.9986908,0.0003983741,0.00008151883,0.0001555726,0.000469682,0.0002040652],"domain_scores_gemma":[0.9972108,0.00122533,0.0002268993,0.0007078542,0.00048942,0.0001396739],"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":[0.001266793,0.0003047102,0.004134879,0.0002560134,0.0001384937,0.0001639274,0.0003793471,0.4686196,0.02140582,0.1222797,0.01039882,0.370652],"study_design_scores_gemma":[0.0001131972,0.00007853675,0.0003387181,0.00001422564,0.00001788534,0.00007428715,0.00002999718,0.9560783,0.009746246,0.02656441,0.00692334,0.00002083189],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1281869,0.0007277515,0.8546569,0.0004294479,0.000142185,0.00008980717,0.00006996344,0.003124172,0.01257286],"genre_scores_gemma":[0.662966,0.0002100383,0.3303303,0.0001090904,0.00008161434,0.0001036521,0.0001722294,0.0002154203,0.005811693],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003595778,"threshold_uncertainty_score":0.01202905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01676340393761701,"score_gpt":0.307545427721807,"score_spread":0.29078202378419,"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."}}