{"id":"W2892260459","doi":"10.1007/978-3-030-27520-4_15","title":"Improved Programming-Language Independent MapReduce on Shared-Memory Systems","year":2019,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Programming paradigm; Programming language; Benchmark (surveying); Programming domain; Parallel computing; Reactive programming; Context (archaeology); Inductive programming; Theoretical computer science","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":[0.0004665916,0.0008962742,0.0008768748,0.0005234822,0.0009124042,0.001186029,0.002537597,0.0004174823,0.005688849],"category_scores_gemma":[0.001638885,0.0004883035,0.0007892671,0.001104312,0.0004431967,0.002255072,0.001902832,0.001749955,0.002056957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007256109,"about_ca_system_score_gemma":0.001419826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004356349,"about_ca_topic_score_gemma":0.007332994,"domain_scores_codex":[0.9991595,0.0001431328,0.00003934721,0.0001094807,0.0003809256,0.000167769],"domain_scores_gemma":[0.9989342,0.0001962258,0.00002252772,0.0004662102,0.0003115963,0.00006916985],"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":[0.001226414,0.0007234547,0.001504065,0.000586645,0.0002220117,0.0003021358,0.0004544112,0.1399386,0.09383517,0.08089127,0.07597382,0.604342],"study_design_scores_gemma":[0.0001963363,0.0002607484,0.001491457,0.00003293889,0.0001070849,0.0001846625,0.0001680341,0.8373783,0.05376381,0.06437452,0.04196364,0.00007845073],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07523447,0.001223455,0.869747,0.0006622818,0.0008706904,0.0001411901,0.0004586758,0.02058243,0.03107974],"genre_scores_gemma":[0.44493,0.0005471185,0.5187255,0.0002773613,0.0003356109,0.000180517,0.001374548,0.003153154,0.03047613],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005688849,"threshold_uncertainty_score":0.01903111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01058475198579325,"score_gpt":0.2290609089517475,"score_spread":0.2184761569659542,"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."}}