{"id":"W2034822545","doi":"10.1109/micro.2014.61","title":"NoC Architectures for Silicon Interposer Systems: Why Pay for more Wires when you Can Get them (from your interposer) for Free?","year":2014,"lang":"en","type":"article","venue":"","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advanced Micro Devices (Canada); University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Interposer; Dram; Computer science; Network on a chip; Through-silicon via; Routing (electronic design automation); Exploit; Stacking; Chip; Embedded system; Computer network; Computer architecture; Silicon; Materials science; Computer hardware; Nanotechnology; Optoelectronics; Layer (electronics); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004924958,0.0003949954,0.0002039204,0.0003211425,0.0005644815,0.001076434,0.000601254,0.0007482144,0.003736178],"category_scores_gemma":[0.001469903,0.0001591366,0.0001443599,0.0005995698,0.000507462,0.002221488,0.0004348,0.0006548507,0.0009960339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007127187,"about_ca_system_score_gemma":0.0005528532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001094055,"about_ca_topic_score_gemma":0.003428763,"domain_scores_codex":[0.999702,0.00005561956,0.00001250033,0.00003698781,0.0001549881,0.00003781446],"domain_scores_gemma":[0.9995086,0.0001148113,0.00005848848,0.00007588928,0.0001830445,0.00005920226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001705779,0.0001110676,0.004416057,0.001310384,0.00009704399,0.0002754024,0.0002957642,0.03358695,0.04700955,0.2250447,0.04511145,0.642571],"study_design_scores_gemma":[0.00006980918,0.0005220372,0.004634541,0.0008186383,0.0001652482,0.0009813167,0.0009381778,0.1239934,0.0315204,0.2579589,0.5783038,0.00009375906],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2401188,0.1592187,0.3623595,0.08747692,0.004761846,0.0002143816,0.0004964862,0.002331256,0.1430221],"genre_scores_gemma":[0.7243947,0.07530478,0.1458774,0.005177089,0.001205267,0.0001633408,0.0003855335,0.0002871864,0.04720474],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003736178,"threshold_uncertainty_score":0.01249874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02530958183015399,"score_gpt":0.2483357008644302,"score_spread":0.2230261190342762,"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."}}