{"id":"W2067050690","doi":"10.1007/s10710-010-9102-5","title":"Deployment of parallel linear genetic programming using GPUs on PC and video game console platforms","year":2010,"lang":"en","type":"article","venue":"Genetic Programming and Evolvable Machines","topic":"Evolutionary Algorithms and Applications","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Speedup; Implementation; Parallel computing; Video game; Genetic programming; Artificial intelligence; Multimedia; Programming language","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":[0.0002045349,0.0002416931,0.0002508364,0.0001161565,0.0003201456,0.0001403575,0.0003343078,0.00009874698,0.000004842576],"category_scores_gemma":[0.00002395408,0.0002039265,0.00005495391,0.0002786198,0.0002133588,0.0001339294,0.0002422392,0.0002186988,0.000003711232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001285838,"about_ca_system_score_gemma":0.0000641105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000241835,"about_ca_topic_score_gemma":0.00003214538,"domain_scores_codex":[0.9984083,0.00001800208,0.000369647,0.0005295962,0.0002487926,0.0004257099],"domain_scores_gemma":[0.9990242,0.00007266907,0.000156759,0.0004685533,0.00008813623,0.0001896811],"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":[0.00003435098,0.0004179252,0.02536806,0.0001414491,0.0000604604,0.00001197689,0.0006906282,0.003321062,0.003345305,0.00665169,0.0000310811,0.959926],"study_design_scores_gemma":[0.001667526,0.0005357158,0.02029567,0.00008595194,0.00005668037,0.0002788694,0.00006899942,0.9573402,0.000788201,0.008201698,0.01013869,0.0005417301],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8105397,0.001475626,0.186857,0.0001823081,0.0001621778,0.0006094826,0.000003399959,0.0001299021,0.00004040359],"genre_scores_gemma":[0.4531089,0.00006886727,0.5465482,0.00003105123,0.00007739472,0.00008942855,0.000002856644,0.0000142631,0.00005900293],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9593843,"threshold_uncertainty_score":0.8315879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01499066644198162,"score_gpt":0.2570535366019504,"score_spread":0.2420628701599688,"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."}}