{"id":"W2099684797","doi":"10.5555/1266366.1266675","title":"Mapping the physical layer of radio standards to multiprocessor architectures","year":2007,"lang":"en","type":"article","venue":"","topic":"Embedded Systems Design Techniques","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Infineon Technologies (Canada)","funders":"","keywords":"Computer science; SIMD; Very long instruction word; Software-defined radio; Instruction-level parallelism; Data parallelism; Computer architecture; Compiler; Thread (computing); MIMD; Parallel computing; Software; Instruction set; Embedded system; Task parallelism; Parallelism (grammar); Operating system","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":[0.0006649424,0.0004267835,0.0002154801,0.0005094213,0.0003736818,0.001589015,0.0009126394,0.0004433454,0.004298829],"category_scores_gemma":[0.00286933,0.0004870559,0.0003841842,0.0005022074,0.0005027127,0.001864582,0.001082622,0.001602662,0.001225049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004678865,"about_ca_system_score_gemma":0.0006702237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005870541,"about_ca_topic_score_gemma":0.0007211614,"domain_scores_codex":[0.9994412,0.0001444497,0.00004604556,0.00008687867,0.0002049783,0.00007650888],"domain_scores_gemma":[0.9990972,0.0002265161,0.00006939696,0.0003633461,0.0002013896,0.00004212524],"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":[0.000213556,0.0003481107,0.003640771,0.0006424104,0.00008334381,0.0005914458,0.0006646145,0.1011236,0.1315683,0.3236113,0.006454139,0.4310584],"study_design_scores_gemma":[0.0000808888,0.0005865475,0.003642101,0.0001387858,0.00009011853,0.0006308203,0.0003204201,0.4904055,0.1309963,0.2221958,0.1508503,0.00006254836],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04935271,0.0008557542,0.9301168,0.0005489012,0.0002542764,0.0001225722,0.00005686529,0.001449622,0.0172425],"genre_scores_gemma":[0.3133419,0.001119112,0.6748087,0.0002836751,0.0001037261,0.0001891099,0.000232268,0.0004221695,0.009499402],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004298829,"threshold_uncertainty_score":0.01438105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02885230984499507,"score_gpt":0.3081281899700912,"score_spread":0.2792758801250961,"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."}}