{"id":"W3210723043","doi":"10.1145/3484309","title":"Distance-aware Approximate Nanophotonic Interconnect","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Design Automation of Electronic Systems","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Agence Nationale de la Recherche","keywords":"Computer science; Efficient energy use; Energy consumption; Overhead (engineering); Optical interconnect; Scalability; Bandwidth (computing); Interconnection; Transmission (telecommunications); Telecommunications; Electrical engineering","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":[0.0002098323,0.0003612615,0.0003032445,0.0002274197,0.0003156,0.0005814786,0.0007448533,0.0003766336,0.001091386],"category_scores_gemma":[0.001028757,0.0001559538,0.0001887776,0.0002951273,0.0003493813,0.001004377,0.0008504879,0.0003832478,0.0002345906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006890449,"about_ca_system_score_gemma":0.00039749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008195016,"about_ca_topic_score_gemma":0.001368279,"domain_scores_codex":[0.9996839,0.00006292947,0.00001647825,0.00004655216,0.000148639,0.00004158853],"domain_scores_gemma":[0.9994166,0.0001948613,0.0001086237,0.0001529668,0.0001045276,0.00002246002],"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":[0.0001164225,0.00003902209,0.0008650055,0.0001064432,0.00002002133,0.0001173786,0.0001270467,0.9068688,0.03901301,0.01766326,0.000682839,0.03438085],"study_design_scores_gemma":[0.000003138029,0.00005947502,0.0001331637,0.000004024974,0.000005811708,0.00004756395,0.00002148544,0.986624,0.009389907,0.00278736,0.0009171304,0.00000695739],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3207525,0.000648589,0.6685368,0.0002056282,0.00004614744,0.00003649174,0.000108232,0.001120083,0.00854557],"genre_scores_gemma":[0.9486834,0.0001544884,0.04866298,0.00003374508,0.000008042985,0.00002941284,0.00007313601,0.00005144289,0.002303393],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001091386,"threshold_uncertainty_score":0.004999399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01468913515383251,"score_gpt":0.2231362424112235,"score_spread":0.208447107257391,"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."}}