{"id":"W2108801243","doi":"10.1109/tpds.2008.105","title":"The Design of OpenMP Tasks","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Parallel and Distributed Systems","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":387,"is_retracted":false,"has_abstract":true,"ca_institutions":"IBM (Canada)","funders":"","keywords":"Computer science; Scalability; Flexibility (engineering); Exploit; Human multitasking; Parallelism (grammar); Key (lock); Computer architecture; Set (abstract data type); Parallel computing; Distributed computing; Programming language; Operating system","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":[0.000385074,0.0001368315,0.0001898651,0.00005946228,0.0003955044,0.0001842952,0.0004727885,0.0000727998,8.298766e-7],"category_scores_gemma":[0.000006531815,0.00009562152,0.00005497071,0.0002948896,0.00005367794,0.0001511948,0.000002257048,0.0001226262,0.000005068492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002038716,"about_ca_system_score_gemma":0.00003951365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002130059,"about_ca_topic_score_gemma":8.530575e-7,"domain_scores_codex":[0.998863,0.0001727699,0.0003299743,0.0002346722,0.0001968096,0.0002027304],"domain_scores_gemma":[0.9990807,0.0002052088,0.0001230011,0.0004131838,0.00009862542,0.00007934017],"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":[0.00002841993,0.00007420064,0.000002350063,0.000005643486,0.00001836387,0.00000206904,0.00007139816,0.9853373,0.0001259945,0.005499585,0.001678329,0.007156303],"study_design_scores_gemma":[0.0004249692,0.0003570194,0.0001077611,0.00004867154,0.00001095235,0.00003232759,0.00004100341,0.9955909,0.000701873,0.001044476,0.001454945,0.0001851296],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0001032552,0.000382062,0.9980537,0.0004570878,0.0002295598,0.0003089228,0.00001781829,0.0002191823,0.0002283619],"genre_scores_gemma":[0.9861876,0.000234297,0.01327275,0.00005383329,0.00001208587,0.00002632135,0.000002641878,0.000003899868,0.0002065788],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9860843,"threshold_uncertainty_score":0.3899332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02456869289260105,"score_gpt":0.2536215729391721,"score_spread":0.2290528800465711,"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."}}