{"id":"W1984303085","doi":"10.5555/2486788.2486831","title":"Detecting deadlock in programs with data-centric synchronization","year":2013,"lang":"en","type":"article","venue":"","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Atomicity; Programmer; Concurrency; Programming language; Java; Concurrency control; Lock (firearm); Synchronization (alternating current); Deadlock; Compiler; Parallel computing; Deadlock prevention algorithms; Semaphore; Concurrent computing; Distributed computing; Exception handling; Operating system; Database transaction; Computer network","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":[0.0001438422,0.00008054201,0.00009505951,0.00004787026,0.00004620446,0.0003068234,0.0007323792,0.00003074015,0.00001323277],"category_scores_gemma":[0.00001534994,0.00005770367,0.000006952808,0.0007909809,0.00001088384,0.001069505,0.0001697309,0.00006586887,0.0001008656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003575465,"about_ca_system_score_gemma":0.00003828168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006886246,"about_ca_topic_score_gemma":0.0002627092,"domain_scores_codex":[0.9990661,0.00002704116,0.0001694955,0.0003306631,0.0001683674,0.0002383936],"domain_scores_gemma":[0.9991864,0.00001648274,0.00005611127,0.0006172131,0.00007335723,0.00005042204],"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":[0.000001571665,0.0001280005,0.05134426,0.00003456359,0.000009761315,0.00001598891,0.0001958612,0.0006307249,0.0000399158,0.004605263,0.0007003989,0.9422937],"study_design_scores_gemma":[0.0003881695,0.00005598181,0.009179095,0.00005961248,0.000001368976,0.00002563288,0.00006948811,0.9875711,0.00006209153,0.00009650628,0.002327687,0.0001632867],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03897593,0.00006928798,0.9584748,0.0001668263,0.00007257442,0.0003681082,8.243599e-7,0.0001556366,0.00171599],"genre_scores_gemma":[0.9741486,0.000001577831,0.02561298,0.0000464101,0.00002191728,0.00003011337,0.0000171673,0.000004544035,0.0001166614],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9869404,"threshold_uncertainty_score":0.2958705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01872003671858108,"score_gpt":0.226390380773395,"score_spread":0.2076703440548139,"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."}}