{"id":"W4400364008","doi":"10.1016/j.nancom.2024.100526","title":"Probability-based mapping approach for an application-aware networks-on-chip architectures","year":2024,"lang":"en","type":"article","venue":"Nano Communication Networks","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Chip; Distributed computing; Telecommunications","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":[0.0003790585,0.0005463975,0.0002989353,0.0006865367,0.000386011,0.0005218798,0.0007860707,0.0003472664,0.001658786],"category_scores_gemma":[0.001309791,0.000224711,0.0003281604,0.0005445482,0.0002225438,0.00090313,0.0005764675,0.000393675,0.0003064595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004485355,"about_ca_system_score_gemma":0.0007646602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001324978,"about_ca_topic_score_gemma":0.001898352,"domain_scores_codex":[0.9995998,0.0001217641,0.00001930821,0.00006656667,0.0001569906,0.00003571528],"domain_scores_gemma":[0.9996588,0.0001251745,0.00004091205,0.00005899409,0.00009669748,0.00001951331],"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":[0.00007793898,0.0001015881,0.001317168,0.0001311089,0.00006172511,0.000200965,0.0001017181,0.6674841,0.02344082,0.03437314,0.002259496,0.2704502],"study_design_scores_gemma":[0.000004509764,0.00004121404,0.000286348,0.000004032039,0.00001242626,0.000076173,0.00001749606,0.9848172,0.002962888,0.009618946,0.002151284,0.000007494118],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01618988,0.0002460116,0.9808782,0.00008591271,0.00003200614,0.0000421502,0.00002304391,0.0004061736,0.002096535],"genre_scores_gemma":[0.6267411,0.0004779218,0.3686041,0.000105791,0.000048878,0.0001644799,0.0001149398,0.00009587714,0.003647004],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001658786,"threshold_uncertainty_score":0.005549252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04496609206672779,"score_gpt":0.2724664517244829,"score_spread":0.2275003596577551,"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."}}