{"id":"W1999402023","doi":"10.1007/s10836-007-5035-1","title":"Design of Low Power &amp; Reliable Networks on Chip Through Joint Crosstalk Avoidance and Multiple Error Correction Coding","year":2008,"lang":"en","type":"article","venue":"Journal of Electronic Testing","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Retransmission; Dependability; Computer science; Error detection and correction; Network on a chip; Crosstalk; Dissipation; Interconnection; Embedded system; System on a chip; Chip; Energy consumption; Electronic engineering; Coding (social sciences); Engineering; Algorithm; Electrical engineering; Computer network; 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":[0.0006126028,0.0006953968,0.0004908043,0.0004778582,0.0005859458,0.00104301,0.001679076,0.0005625035,0.001579538],"category_scores_gemma":[0.001121111,0.0004279754,0.0003223588,0.0003140632,0.0004829842,0.000613205,0.000545592,0.0005242404,0.0002943526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001196615,"about_ca_system_score_gemma":0.001224815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002231991,"about_ca_topic_score_gemma":0.009633811,"domain_scores_codex":[0.999498,0.0001269267,0.0000194976,0.00008162675,0.0001863988,0.00008749242],"domain_scores_gemma":[0.9990115,0.000288378,0.0002403665,0.0000729391,0.0003390575,0.00004781384],"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":[0.0002548153,0.0002220555,0.001471005,0.0002755221,0.0001796163,0.0003856519,0.0003600527,0.6798546,0.1253557,0.04656838,0.0040878,0.1409848],"study_design_scores_gemma":[0.00004848237,0.0003455377,0.0003230949,0.00002407474,0.00007385442,0.0001096663,0.00003951766,0.9635825,0.02662255,0.004919273,0.003886206,0.00002527997],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1093208,0.000614666,0.8788566,0.0004600669,0.0001305574,0.0001605296,0.00007733221,0.0007358203,0.009643623],"genre_scores_gemma":[0.7918261,0.0003278996,0.202967,0.0001862244,0.00007535722,0.0001583716,0.00009278188,0.00007825381,0.004288101],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002231991,"threshold_uncertainty_score":0.008682013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05538304835352929,"score_gpt":0.252881047933277,"score_spread":0.1974979995797477,"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."}}