{"id":"W1658056400","doi":"10.1142/s0129626412500089","title":"DETERMINISTIC SAMPLE SORT FOR GPUS","year":2012,"lang":"en","type":"article","venue":"Parallel Processing Letters","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Merge sort; sort; Computer science; Sorting algorithm; Parallel computing; Sorting; Sample (material); Algorithm","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":[],"consensus_categories":[],"category_scores_codex":[0.0003708709,0.0001795757,0.0001815209,0.0001095506,0.0003168926,0.0002376697,0.0006617301,0.0000562823,0.000003767999],"category_scores_gemma":[0.0001117144,0.0001731322,0.00007773843,0.0002153063,0.00005096478,0.0006186691,0.0001113443,0.00009601045,0.00001637843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003973018,"about_ca_system_score_gemma":0.00004339943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008060269,"about_ca_topic_score_gemma":3.255256e-7,"domain_scores_codex":[0.998637,0.00003728842,0.0002590016,0.0003141398,0.0001854975,0.0005670293],"domain_scores_gemma":[0.9991472,0.0001821752,0.0001479579,0.0003284432,0.00006223996,0.0001319307],"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":[0.0001570815,0.001126795,0.02577698,0.001334229,0.0001715165,0.00001850523,0.01579664,0.0659976,0.009209394,0.03929773,0.1496868,0.6914268],"study_design_scores_gemma":[0.0009431766,0.0001029242,0.001768693,0.0001082688,0.00003264378,0.00005870228,0.00002477067,0.9337899,0.00202758,0.004297578,0.05578801,0.001057754],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002401253,0.0002704883,0.994279,0.001464986,0.000263107,0.000211921,0.000002344823,0.0007327472,0.0003741026],"genre_scores_gemma":[0.4202707,0.000003264777,0.5767775,0.002653256,0.000160552,0.00006509002,0.000007289739,0.00001428607,0.00004809703],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8677923,"threshold_uncertainty_score":0.7060126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03016900520291681,"score_gpt":0.2870489943193223,"score_spread":0.2568799891164055,"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."}}