{"id":"W2145087827","doi":"10.1109/pacrim.1989.48328","title":"A multi-DSP board for a parallel computer using a packet switched, pipelined bus","year":2003,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Digital signal processing; Unix; Computer hardware; Back-side bus; Interface (matter); Embedded system; Network packet; System bus; Parallel computing; Control bus; Operating system; Computer network; Bus network; Software","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004450559,0.0002335329,0.0002780633,0.0001454711,0.0002052751,0.0002311924,0.0006140219,0.0001093297,0.00001088295],"category_scores_gemma":[0.00007484324,0.0002091896,0.0001460718,0.0003605439,0.00003109233,0.0002670991,0.0001413585,0.0001034993,0.00001613384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004935568,"about_ca_system_score_gemma":0.0001128222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003029282,"about_ca_topic_score_gemma":0.000006918272,"domain_scores_codex":[0.9983495,0.0000981124,0.0003732351,0.0005517622,0.0001835565,0.0004437833],"domain_scores_gemma":[0.9988142,0.0001265891,0.0001334012,0.0005649977,0.0002262482,0.0001345607],"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":[0.0001461563,0.002129823,0.002451136,0.0002397513,0.0003265098,0.00008862845,0.00307609,0.5165231,0.005053156,0.3380944,0.08140586,0.05046539],"study_design_scores_gemma":[0.001101304,0.00008608512,0.00004831674,0.00001982214,0.000006820738,0.00002277985,0.000007785242,0.9902381,0.00130304,0.001840372,0.005013722,0.000311822],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001165814,0.00006666506,0.9962018,0.0002449329,0.0002717845,0.0004858841,0.000001449607,0.0009648046,0.0005969103],"genre_scores_gemma":[0.04843817,0.000008445317,0.9497754,0.001129122,0.00006608525,0.00003275343,0.000002860346,0.00001949226,0.0005277028],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.473715,"threshold_uncertainty_score":0.8530502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04939724219507031,"score_gpt":0.3006326870807984,"score_spread":0.2512354448857281,"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."}}