{"id":"W1771537750","doi":"10.1007/11942634_24","title":"Exploring Financial Applications on Many-Core-on-a-Chip Architecture: A First Experiment","year":2006,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"IBM; Computer science; Architecture; Core (optical fiber); Multi-core processor; Focus (optics); Financial services; Monte Carlo method; Computer architecture; Finance; Parallel computing; Economics; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001063741,0.0006539947,0.0004395866,0.0001778994,0.0004228919,0.0008427945,0.001132072,0.00126223,0.004657488],"category_scores_gemma":[0.004739368,0.0002766686,0.0004055978,0.0002947823,0.0005934816,0.001371568,0.0005573364,0.001240582,0.0005529285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000282706,"about_ca_system_score_gemma":0.000649403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00104214,"about_ca_topic_score_gemma":0.001138161,"domain_scores_codex":[0.9995798,0.0001479278,0.00001416276,0.00007661017,0.00007569049,0.0001057642],"domain_scores_gemma":[0.9962305,0.002699745,0.00009879292,0.0003998035,0.0003482751,0.000222814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.02717509,0.02391556,0.02063002,0.001940614,0.0006819495,0.001955183,0.001518088,0.3844616,0.2188875,0.03387761,0.02054393,0.2644129],"study_design_scores_gemma":[0.002730671,0.0263695,0.0100624,0.00006509169,0.0004113714,0.0005093256,0.0009898798,0.8231526,0.0941785,0.03225273,0.00915219,0.0001257476],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913281,0.0001403234,0.004885919,0.000189839,0.00004911652,0.00008213993,0.00008919173,0.0001542945,0.003081038],"genre_scores_gemma":[0.9873624,0.00009490092,0.009376516,0.0001376026,0.00002000805,0.0001041674,0.0001253736,0.00003525816,0.002743715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004657488,"threshold_uncertainty_score":0.01558083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06208055959883525,"score_gpt":0.2344731645657449,"score_spread":0.1723926049669097,"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."}}