{"id":"W4252495035","doi":"10.1109/bigdatacongress.2018.00031","title":"XRT: Programming-Language Independent MapReduce on Shared-Memory Systems","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced Data Storage Technologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Shared memory; Parallel computing; Overhead (engineering); Speedup; Distributed shared memory; Programming paradigm; Memory management; Distributed computing; Multi-core processor; Computer architecture; Uniform memory access; Operating system; Programming language","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002129136,0.0002029365,0.0001756543,0.0001851823,0.000139552,0.0003089417,0.002088578,0.0001173806,0.00004308877],"category_scores_gemma":[0.0001196412,0.0001661103,0.0000391784,0.0004142515,0.0001554565,0.0007465845,0.0009267313,0.0002127793,0.001065025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001119105,"about_ca_system_score_gemma":0.00004027135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006488949,"about_ca_topic_score_gemma":0.0000165101,"domain_scores_codex":[0.9982055,0.0000313423,0.0002260038,0.0006595329,0.0004279018,0.0004497477],"domain_scores_gemma":[0.9979483,0.00005201366,0.0001049026,0.001723729,0.00008524316,0.00008577525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002354586,0.0003271701,0.0001840274,0.00007307614,0.00005163791,0.0003993358,0.002640319,0.00008975997,0.005774002,0.2537309,0.02281498,0.7138913],"study_design_scores_gemma":[0.005524386,0.00909725,0.004248121,0.001017064,0.00006449214,0.00140076,0.02092848,0.1176232,0.4742534,0.01274182,0.3457306,0.007370414],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02764983,0.0003553703,0.9469414,0.0005359963,0.001532632,0.000744541,0.00002214588,0.004794281,0.01742385],"genre_scores_gemma":[0.8917498,0.000003005524,0.1043567,0.0002249788,0.0001765053,0.00008656343,0.000008045631,0.00001731471,0.003377086],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8641,"threshold_uncertainty_score":0.9997128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01658725222377375,"score_gpt":0.2712571560523049,"score_spread":0.2546699038285311,"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."}}