{"id":"W2082295213","doi":"10.1109/fpt.2012.6412118","title":"Design tradeoffs for hard and soft FPGA-based Networks-on-Chip","year":2012,"lang":"en","type":"article","venue":"","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Field-programmable gate array; Router; Computer science; Interconnection; Application-specific integrated circuit; Embedded system; Crossbar switch; Control reconfiguration; Computer architecture; Computer hardware; Computer network; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006937074,0.0001237863,0.0001472749,0.00005116154,0.0001478552,0.0001494052,0.0002300692,0.00007390099,0.00001748939],"category_scores_gemma":[0.00001727713,0.00009504625,0.00006161588,0.000106997,0.00001789833,0.0002585762,0.00002381843,0.00007399692,0.00001745657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001826211,"about_ca_system_score_gemma":0.00001674199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006711482,"about_ca_topic_score_gemma":0.000002224234,"domain_scores_codex":[0.9990242,0.00008435466,0.0001775904,0.000233013,0.0001050987,0.0003757201],"domain_scores_gemma":[0.9990517,0.0004613624,0.00005063908,0.0002662551,0.00003475448,0.0001352447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002285765,0.000419542,0.002156688,0.00008407404,0.0001195133,0.00000429468,0.001510551,0.1371669,0.0003666364,0.4130515,0.2913074,0.1535844],"study_design_scores_gemma":[0.0004032962,0.0001963724,0.0003070757,0.00001885105,0.000003956201,0.000009738279,0.00001334568,0.981944,0.0006437356,0.0003216209,0.01597541,0.0001626049],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0007520586,0.0001590838,0.9955717,0.0006205222,0.001426513,0.0003294144,4.354477e-7,0.0001449021,0.0009953361],"genre_scores_gemma":[0.9555185,0.000002025425,0.04105413,0.001890641,0.0005820047,0.00006135274,9.518183e-7,0.00001074931,0.0008796485],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9547665,"threshold_uncertainty_score":0.3875873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05756283642609154,"score_gpt":0.2497010632342436,"score_spread":0.192138226808152,"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."}}