{"id":"W4231804678","doi":"10.1504/ijcaet.2021.115355","title":"Latency-optimised 3D multi-FPGA system with serial optical interface","year":2021,"lang":"en","type":"article","venue":"International Journal of Computer Aided Engineering and Technology","topic":"Semiconductor Lasers and Optical Devices","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Latency (audio); Field-programmable gate array; Benchmark (surveying); Embedded system; Routing (electronic design automation); Three-dimensional integrated circuit; Reduction (mathematics); System on a chip; Interface (matter); Electronic engineering; Computer hardware; Chip; Parallel computing; Engineering; 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":[0.0001876657,0.0004564897,0.0001835741,0.0003238104,0.0001609319,0.0004450053,0.000599507,0.0002292941,0.003113145],"category_scores_gemma":[0.0002977336,0.0001265855,0.0002047688,0.0001968097,0.0001378417,0.0003694686,0.000225135,0.0002210542,0.0004036916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005013092,"about_ca_system_score_gemma":0.0004585119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001335271,"about_ca_topic_score_gemma":0.003386468,"domain_scores_codex":[0.9998299,0.00002443388,0.000008446669,0.00002717361,0.00007934386,0.00003058646],"domain_scores_gemma":[0.9997903,0.00003151468,0.00005395407,0.00004399208,0.00006485526,0.00001544781],"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":[0.0009121747,0.0002607976,0.005044413,0.0005694541,0.0001192532,0.0006538095,0.0001692047,0.3055574,0.4392445,0.00773242,0.007233399,0.2325031],"study_design_scores_gemma":[0.0001248523,0.00182502,0.004398798,0.00003155062,0.00006407957,0.000588124,0.00006567567,0.7570984,0.217495,0.001383224,0.01686533,0.00005988432],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5469396,0.0007029321,0.419056,0.0002182296,0.0001744231,0.000246955,0.0006575374,0.007058469,0.02494588],"genre_scores_gemma":[0.8705901,0.0001022707,0.1249969,0.00004338326,0.00001007395,0.00007057867,0.0002583286,0.0000798101,0.003848457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003113145,"threshold_uncertainty_score":0.01041454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005362390747558589,"score_gpt":0.1992604548356665,"score_spread":0.1938980640881079,"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."}}