{"id":"W2049615251","doi":"10.1109/cec.2008.4630825","title":"Linear Genetic Programming GPGPU on Microsoft's Xbox 360","year":2008,"lang":"en","type":"article","venue":"","topic":"Evolutionary Algorithms and Applications","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"General-purpose computing on graphics processing units; Computer science; Benchmarking; Graphics processing unit; Graphics; Central processing unit; Implementation; CUDA; Flexibility (engineering); Genetic programming; Parallel computing; Computer graphics (images); Operating system; Artificial intelligence; Software engineering","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":[0.00004115203,0.00008454292,0.0000669186,0.00004156308,0.0002771745,0.0000306195,0.0004400964,0.00003335011,0.00002128027],"category_scores_gemma":[0.000007662334,0.00007341074,0.00004412562,0.0002889104,0.00004980719,0.0001140134,0.00009552585,0.00007833391,0.000445312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001982911,"about_ca_system_score_gemma":0.0000461957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002590498,"about_ca_topic_score_gemma":0.000002102897,"domain_scores_codex":[0.9992241,0.00001138301,0.000129537,0.0002844046,0.0001504698,0.0002000619],"domain_scores_gemma":[0.9994012,0.00003190671,0.00004092438,0.0004015016,0.00004759284,0.00007683827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008247943,0.001833473,0.007446708,0.00002473481,0.00005047132,0.0001538467,0.001365683,0.002923418,0.005958607,0.3664641,0.03183186,0.5819389],"study_design_scores_gemma":[0.0009189837,0.0005495567,0.1121418,0.00002827357,0.000008762354,0.0006399401,0.00003901836,0.3008731,0.009607048,0.006322328,0.56793,0.0009411367],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04779325,0.0001286672,0.945273,0.0019647,0.0001040908,0.0002167655,0.000001218036,0.0003607652,0.004157573],"genre_scores_gemma":[0.200738,0.00003052926,0.7951508,0.0005323304,0.0001433021,0.00005117909,0.000002705187,0.000007023626,0.003344138],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5809977,"threshold_uncertainty_score":0.5723733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01943988956565462,"score_gpt":0.2438108087253718,"score_spread":0.2243709191597172,"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."}}