{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009442078,0.0001322797,0.0001619978,0.0001477433,0.0005417921,0.0001418087,0.002222511,0.00003473253,0.000006612007],"category_scores_gemma":[0.0000227765,0.0001117872,0.00002699313,0.0007896907,0.0005945785,0.0009253412,0.00103532,0.0001084633,0.00004994754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003814788,"about_ca_system_score_gemma":0.0001617587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000132171,"about_ca_topic_score_gemma":0.000001166726,"domain_scores_codex":[0.9977773,0.000009340296,0.00028819,0.0006095386,0.0008509021,0.0004646651],"domain_scores_gemma":[0.9986441,0.00002362983,0.0001726873,0.0008483694,0.0001848314,0.000126437],"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":[0.00001357069,0.00006377389,0.0005068037,0.00002068714,0.000004003383,0.00000144257,0.001768661,0.0007218923,0.4760901,0.01600156,0.0000482223,0.5047593],"study_design_scores_gemma":[0.0001530803,0.00005238892,0.002310708,0.00002226808,0.000001303961,0.000004845811,0.00001221625,0.9135029,0.0808683,0.002817146,0.0001101959,0.0001446761],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1088738,0.00002661702,0.8826635,0.00003004092,0.0002012609,0.0001061559,8.319877e-7,0.0001022349,0.007995594],"genre_scores_gemma":[0.7692468,0.000004233253,0.230578,0.00005648163,0.00007059066,0.000008157319,3.570589e-7,0.000004853472,0.00003053876],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.912781,"threshold_uncertainty_score":0.4558548,"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."}}