{"id":"W2139093700","doi":"10.1109/rsp.2005.6","title":"A HyperTransport Chip-to-Chip Interconnect Tunnel Developed Using SystemC","year":2006,"lang":"en","type":"article","venue":"","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"CMC Microsystems","keywords":"SystemC; Embedded system; Interconnection; Computer science; System on a chip; Computer architecture; CMOS; Chip; Implementation; Integrated circuit design; MPSoC; Computer hardware; Electronic engineering; Engineering; Telecommunications; Software engineering","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":[0.0004693613,0.0002479313,0.0002839183,0.0004411823,0.0004987241,0.000417247,0.0006483946,0.0004180944,0.002432935],"category_scores_gemma":[0.0006354501,0.0002100022,0.0002069879,0.0003171349,0.0004519525,0.0006048699,0.0004595441,0.0007303937,0.000458245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005480528,"about_ca_system_score_gemma":0.0009768881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009687348,"about_ca_topic_score_gemma":0.001476666,"domain_scores_codex":[0.9997141,0.00005384886,0.00001418922,0.00003524496,0.0001301274,0.00005253943],"domain_scores_gemma":[0.9994711,0.00007622189,0.00004744506,0.0001036091,0.0002400878,0.00006155037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005047028,0.000239456,0.003272228,0.0007524785,0.00006117093,0.0006591445,0.0004927836,0.02814563,0.7334838,0.04001151,0.008932529,0.1834445],"study_design_scores_gemma":[0.0001841457,0.002821925,0.003308854,0.00008556059,0.00006754247,0.002160962,0.0001097465,0.1496934,0.7109668,0.002176731,0.1283036,0.0001206914],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4403088,0.0009932995,0.524071,0.0002761058,0.0004345539,0.0008164696,0.0004673439,0.008164532,0.02446792],"genre_scores_gemma":[0.6649593,0.0002677245,0.3259076,0.0001084144,0.00002202296,0.0002620925,0.0004275099,0.0002846956,0.007760678],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002432935,"threshold_uncertainty_score":0.008139014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03097231668847722,"score_gpt":0.241889503424916,"score_spread":0.2109171867364388,"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."}}