{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003073241,0.0006788196,0.0005155344,0.0004271363,0.001149044,0.002849015,0.003374688,0.001406214,0.003999928],"category_scores_gemma":[0.00713103,0.0009653709,0.0007829238,0.0004523801,0.001331188,0.002976971,0.00280366,0.002494535,0.001917148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008707594,"about_ca_system_score_gemma":0.002000798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009189161,"about_ca_topic_score_gemma":0.0009490973,"domain_scores_codex":[0.9975498,0.0005703911,0.0002837073,0.0003025511,0.001012423,0.0002809772],"domain_scores_gemma":[0.9973595,0.0006539217,0.0002068215,0.000752594,0.0008173682,0.0002097815],"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":[0.0007087589,0.0001968276,0.00186921,0.001057531,0.0000803698,0.0004313234,0.001914075,0.1689604,0.02851745,0.6009361,0.02036029,0.1749677],"study_design_scores_gemma":[0.0002043877,0.0003291752,0.0004068011,0.0002054353,0.00006861234,0.0004027963,0.0002489556,0.5708075,0.04266867,0.159368,0.2251959,0.00009376139],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006998421,0.0001322569,0.9837778,0.0001955222,0.000105804,0.0002810779,0.00009932461,0.001643708,0.006766204],"genre_scores_gemma":[0.1663729,0.0004005813,0.8172058,0.000363599,0.00007565705,0.001733192,0.0006115946,0.001238283,0.01199838],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003999928,"threshold_uncertainty_score":0.01625305,"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."}}