{"id":"W2506347696","doi":"10.1145/2933057.2933123","title":"Concurrent Data Structures","year":2016,"lang":"en","type":"article","venue":"","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Concurrent data structure; Construct (python library); Data structure; Component (thermodynamics); Distributed computing; Lock (firearm); Process (computing); Concurrency control; Data access; Simple (philosophy); Concurrency; 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":[0.00009353406,0.00005532618,0.00006781324,0.00001255836,0.00003024092,0.00007089492,0.001555747,0.00001860199,0.00006681412],"category_scores_gemma":[0.00001947219,0.00002743621,0.00001200951,0.00007150164,0.00001885962,0.0004675126,0.0004253181,0.00001906241,0.0001411328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007892331,"about_ca_system_score_gemma":0.00002291838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001258363,"about_ca_topic_score_gemma":0.000005826113,"domain_scores_codex":[0.9993408,0.00001534173,0.0001053928,0.0002741983,0.000132142,0.0001320849],"domain_scores_gemma":[0.9988135,0.00002910783,0.00002885479,0.001048541,0.00002768428,0.00005231434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[1.617824e-7,0.000006368499,0.0002936364,0.000002085153,0.000004506595,0.000002765318,0.00001195596,3.001986e-7,0.0004625333,0.4782214,0.06238029,0.458614],"study_design_scores_gemma":[0.0004698115,0.00002149304,0.006593116,0.00002676969,0.0000015144,0.00001878834,0.000005688645,0.005958674,0.001211662,0.004076588,0.9814187,0.0001972537],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0007220128,0.0001151638,0.991364,0.00136325,0.0006591754,0.00004317375,0.00005384875,0.0001206975,0.005558654],"genre_scores_gemma":[0.9959007,0.000006394118,0.002881114,0.0001380744,0.0000633952,0.000001535919,0.000005018183,0.000001824402,0.001001937],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9951787,"threshold_uncertainty_score":0.2890992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05550809640821099,"score_gpt":0.2929852147392835,"score_spread":0.2374771183310725,"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."}}