{"id":"W3007439791","doi":"10.1145/3155284.3018762","title":"Contention in Structured Concurrency","year":2017,"lang":"en","type":"article","venue":"ACM SIGPLAN Notices","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Computer science; Concurrency; Data structure; Concurrent data structure; Theoretical computer science; Isolation (microbiology); Key (lock); Parallel computing; Directed acyclic graph; Distributed computing; Programming language; Algorithm","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001902711,0.0000860715,0.0001174989,0.00007652347,0.0002085179,0.000387361,0.001993932,0.00005170424,0.000008581252],"category_scores_gemma":[0.0004141848,0.00007889163,0.00002604664,0.00005523091,0.00004231948,0.0005694533,0.0003568994,0.00009634222,0.00001617881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001295441,"about_ca_system_score_gemma":0.00002162796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001253761,"about_ca_topic_score_gemma":0.00007473629,"domain_scores_codex":[0.9992777,0.00004118947,0.0001617715,0.0002366145,0.0001232389,0.000159543],"domain_scores_gemma":[0.9986739,0.00007704518,0.0001951611,0.0009693193,0.00004697146,0.00003758658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00004746924,0.0002442195,0.3419089,0.0001171145,0.00006188582,0.0001724357,0.003984462,0.005628631,0.002522285,0.227843,0.009865284,0.4076043],"study_design_scores_gemma":[0.001693837,0.0001780179,0.6033869,0.0001939263,0.00001056317,0.00001361007,0.00004506274,0.338888,0.007100101,0.04382803,0.003947739,0.0007141628],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3416656,0.0004099254,0.634132,0.003206541,0.001807501,0.0004103252,0.000007138434,0.0009034231,0.01745753],"genre_scores_gemma":[0.9391079,0.00001247946,0.06064637,0.00008913038,0.00003658144,0.000003737186,0.000003485212,0.00000329252,0.00009701753],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5974423,"threshold_uncertainty_score":0.3735331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03900309443174148,"score_gpt":0.3089167678228088,"score_spread":0.2699136733910673,"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."}}