{"id":"W1991252732","doi":"10.1109/oic.2013.6552935","title":"RODIN &amp;#x2014; Energy-proportional soa-based optical interconnect for large computing platforms","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canada Research Chairs","keywords":"Scalability; Interconnection; Computer science; Idle; Energy (signal processing); Mode (computer interface); Electronic engineering; Computer network; Engineering; Physics; Operating system","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001062353,0.0002127877,0.0002307119,0.0000846621,0.00008010426,0.0000463887,0.000228297,0.0001797044,0.0003637933],"category_scores_gemma":[0.0001583168,0.0001731792,0.0001027113,0.0001278498,0.00005888082,0.0002016273,0.00008671126,0.0001906599,0.0001416422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000788811,"about_ca_system_score_gemma":0.00001061843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003482635,"about_ca_topic_score_gemma":0.0000294389,"domain_scores_codex":[0.9987084,0.000002269217,0.0003310648,0.0002389399,0.0001379019,0.0005814336],"domain_scores_gemma":[0.999305,0.0002454531,0.00002733426,0.0002554288,0.00007333251,0.00009348336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001930624,0.0001123708,0.0003404164,0.0001034262,0.00009117601,0.000002079385,0.00001960286,0.2005766,0.005203233,0.7068563,0.01282599,0.07384954],"study_design_scores_gemma":[0.0005973061,0.00006701401,0.0001901011,0.00003401716,0.000008985832,0.000004240749,0.00006009745,0.9461774,0.004879746,0.03558336,0.01201399,0.0003837251],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07618514,0.00006746649,0.9193115,0.0002134798,0.0002078602,0.000221759,0.000006411979,0.001767854,0.002018583],"genre_scores_gemma":[0.6145774,0.000003652603,0.384944,0.0001337028,0.00008740089,0.00006265711,0.00004163487,0.00003400899,0.0001155572],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7456008,"threshold_uncertainty_score":0.7062045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01421338182203803,"score_gpt":0.2338167069562802,"score_spread":0.2196033251342422,"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."}}