{"id":"W2890851695","doi":"10.5539/mas.v12n10p23","title":"Measuring Parallel Performance of Sorting Algorithms","year":2018,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sorting; Computer science; Sorting algorithm; Parallel computing; sort; Algorithm; Field (mathematics); Mathematics; Database","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001405697,0.000708605,0.0004894321,0.002360917,0.000690948,0.001026004,0.0007321087,0.0005269425,0.002287102],"category_scores_gemma":[0.007645639,0.000254541,0.000383938,0.00342458,0.0003825588,0.00158003,0.0005549015,0.0004446664,0.000829347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000727322,"about_ca_system_score_gemma":0.000851721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001687592,"about_ca_topic_score_gemma":0.0009077737,"domain_scores_codex":[0.9972299,0.0004467879,0.0003123789,0.0004007301,0.001334324,0.0002758665],"domain_scores_gemma":[0.9950787,0.001852515,0.0003552888,0.000802998,0.001752004,0.0001585069],"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":[0.002887599,0.001115085,0.05877472,0.001347539,0.0005778627,0.0003756239,0.0008256829,0.24246,0.2031861,0.008291669,0.008480835,0.4716773],"study_design_scores_gemma":[0.00017298,0.002605196,0.04972822,0.00006796345,0.0002461364,0.0006208684,0.000536937,0.6680949,0.2559348,0.006957068,0.01490567,0.0001292219],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9123392,0.001152544,0.06634417,0.0001669292,0.0001611774,0.0002116685,0.0008212202,0.00338435,0.01541878],"genre_scores_gemma":[0.9370294,0.0005508251,0.05765041,0.00003471041,0.00005362024,0.0001766466,0.001891683,0.000325588,0.00228706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002360917,"threshold_uncertainty_score":0.007651091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0387345257834099,"score_gpt":0.2478096097078538,"score_spread":0.209075083924444,"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."}}