{"id":"W2117257293","doi":"10.1109/apccas.2008.4746331","title":"Chip to chip communications for terabit transmission rates","year":2008,"lang":"en","type":"article","venue":"","topic":"Advancements in PLL and VCO Technologies","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Coquitlam College; Scanimetrics (Canada)","funders":"","keywords":"Terabit; Bottleneck; Wireline; Chip; Bandwidth (computing); Computer science; System on a chip; Throughput; Data transmission; Wireless; Transmission (telecommunications); Embedded system; Computer hardware; Electronic engineering; Telecommunications; Engineering; Wavelength-division multiplexing; Optoelectronics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002163323,0.0000700926,0.00008533581,0.00004199199,0.0001212844,0.000004995581,0.0002618962,0.00003516042,0.00003050103],"category_scores_gemma":[0.000009643167,0.00005798104,0.00003454069,0.00008508566,0.00002926788,0.00005865298,0.00002982749,0.00005705173,0.00002110539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001183277,"about_ca_system_score_gemma":0.000002690205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002143373,"about_ca_topic_score_gemma":0.000003061728,"domain_scores_codex":[0.9996748,0.000002464204,0.00009610743,0.00006920766,0.00003440051,0.0001230315],"domain_scores_gemma":[0.9995849,0.0000413236,0.000005168407,0.0003283532,0.00001231939,0.00002799233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006805116,0.0004075157,0.001859185,0.0003133095,0.0009845962,0.000004630847,0.004696018,0.02845777,0.09973375,0.04113048,0.1092801,0.7130646],"study_design_scores_gemma":[0.0004864703,0.0001259192,0.0007387896,0.00002266749,0.00005546682,0.000008396013,0.0002186359,0.02167093,0.1947893,0.005421524,0.7760594,0.0004024521],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04855189,0.001139444,0.9206652,0.002484182,0.000120108,0.0006902214,0.00001879131,0.002238529,0.02409161],"genre_scores_gemma":[0.8169702,0.0004109576,0.1802415,0.0001303279,0.00001253591,0.0001336618,0.00001160333,0.0000159532,0.0020733],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7684183,"threshold_uncertainty_score":0.2364398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04858772034618444,"score_gpt":0.2962570200759753,"score_spread":0.2476692997297908,"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."}}