{"id":"W243847709","doi":"","title":"Multidimensional Performance Modeling for Advanced Embedded Signal Processors","year":2002,"lang":"en","type":"article","venue":"Defense Technical Information Center (DTIC)","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Computer science; Signal processing; Parallel computing; Computer architecture; Digital signal processing; Computer hardware","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":[0.0003189394,0.0002203162,0.0002160403,0.0002212241,0.0002782577,0.0001454799,0.0005720551,0.0001352481,0.00002690539],"category_scores_gemma":[0.0001097181,0.0002053608,0.0001174635,0.0003534583,0.00003922731,0.002163624,0.0002007544,0.0002070879,0.0001058189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007311269,"about_ca_system_score_gemma":0.00002655956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.916425e-7,"about_ca_topic_score_gemma":2.201362e-7,"domain_scores_codex":[0.9982364,0.00002640505,0.000677591,0.0002698048,0.000382627,0.0004071709],"domain_scores_gemma":[0.9987667,0.00008641168,0.0002118395,0.0003972031,0.0004113127,0.0001266008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001418129,0.0004934908,0.0001474228,0.0002593004,0.00003849293,0.000002441252,0.001754527,0.8535327,0.0004553392,0.02586894,0.0129477,0.1043578],"study_design_scores_gemma":[0.00087232,0.0001245361,0.0000171229,0.00006625848,0.00000436556,0.00002609638,0.0000110349,0.9927279,0.001110814,0.00030886,0.004464982,0.0002657327],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01100591,0.00003065721,0.9838946,0.0003443227,0.000122301,0.0005368367,0.000008404649,0.001317869,0.002739077],"genre_scores_gemma":[0.634598,0.00003074302,0.3643641,0.0008026105,0.00002144735,0.0000892134,0.00003533563,0.000008455871,0.00005015184],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6235921,"threshold_uncertainty_score":0.8374372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02923357063750368,"score_gpt":0.2553940521337283,"score_spread":0.2261604814962246,"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."}}