{"id":"W3107081217","doi":"10.1002/spe.2925","title":"Advanced control‐flow and concurrency in C∀","year":2020,"lang":"en","type":"article","venue":"Software Practice and Experience","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Concurrency; POSIX Threads; Mutual exclusion; Programming language; Control flow; Concurrency control; Compiler; Synchronization (alternating current); Programmer; Concurrent object-oriented programming; Concurrent computing; Deadlock; Exception handling; Non-lock concurrency control; Distributed computing; Reactive programming; Distributed concurrency control; Programming paradigm; Thread (computing); Inductive programming","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":[0.0001336592,0.00009639448,0.0001296961,0.00003128244,0.00008575197,0.0001235271,0.0002282054,0.0000364494,0.000002955015],"category_scores_gemma":[0.001245793,0.0000940172,0.00001101754,0.0002334607,0.00005901713,0.001256941,0.0001429935,0.0001308556,0.000003583463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007181172,"about_ca_system_score_gemma":0.00003004629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001298455,"about_ca_topic_score_gemma":6.344366e-7,"domain_scores_codex":[0.999149,0.00007075859,0.0001565221,0.000349928,0.0001139379,0.0001599045],"domain_scores_gemma":[0.9992813,0.0003275731,0.00007994602,0.0001419414,0.00005811136,0.0001110934],"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":[0.0001968131,0.0001515554,0.01713607,0.0000802723,0.00001757364,0.0001703797,0.09512536,0.003439244,0.0005259225,0.01357146,0.0009988644,0.8685865],"study_design_scores_gemma":[0.003675742,0.0008481583,0.004247752,0.0001403659,0.00001441351,0.0001728021,0.003055922,0.9088702,0.001371936,0.002393498,0.07412001,0.001089265],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00937776,0.001554502,0.9842973,0.004026055,0.000057768,0.0001166305,8.555485e-7,0.0002941341,0.0002749753],"genre_scores_gemma":[0.6557924,0.0004114449,0.3403403,0.00341544,0.00001402505,0.00001731899,4.203798e-7,0.000003328539,0.000005355046],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9054309,"threshold_uncertainty_score":0.383391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01409728627202044,"score_gpt":0.2831058411201934,"score_spread":0.2690085548481729,"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."}}