{"id":"W1964746861","doi":"10.1016/j.compeleceng.2014.05.006","title":"Design and verification of an efficient WISHBONE-based network interface for network on chip","year":2014,"lang":"en","type":"article","venue":"Computers & Electrical Engineering","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"Canadian Bureau for International Education","keywords":"Asynchronous communication; Computer science; FIFO (computing and electronics); Network on a chip; Latency (audio); Embedded system; Network interface; Chip; Computer network; Parallel computing; Computer hardware","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":[0.000720056,0.0001665669,0.0002658004,0.00008752717,0.00008691987,0.00009127257,0.0003641802,0.0000786635,3.423661e-7],"category_scores_gemma":[0.0000400514,0.0001615634,0.00005830191,0.0004167183,0.00001285472,0.00007195998,0.00003634642,0.0001370835,0.0000010932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004950696,"about_ca_system_score_gemma":0.00001747265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002109154,"about_ca_topic_score_gemma":1.601239e-7,"domain_scores_codex":[0.9987049,0.0001047719,0.0002998467,0.0003709572,0.0001410393,0.0003785472],"domain_scores_gemma":[0.9987001,0.0006916721,0.0001003524,0.0003341021,0.00006560181,0.0001082168],"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":[0.00003125178,0.00002934832,0.000004272564,0.00001727347,0.00001075283,2.76036e-7,0.00004013431,0.9611471,0.0003197952,0.02019155,0.0003660582,0.01784221],"study_design_scores_gemma":[0.0003780521,0.0008283283,0.0001695632,0.00009395264,0.000005129441,0.00000458756,3.506718e-7,0.9960689,0.001193274,0.0001446317,0.0009436347,0.0001695739],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01225537,0.0001381257,0.9860873,0.0000682359,0.000919954,0.000344864,1.495027e-7,0.000171101,0.00001488969],"genre_scores_gemma":[0.8156828,0.000001242032,0.18381,0.0001033114,0.0003568513,0.00002610507,0.0000015859,0.000014991,0.00000306617],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8034275,"threshold_uncertainty_score":0.6588366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01088723644387945,"score_gpt":0.2104572494159598,"score_spread":0.1995700129720804,"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."}}