{"id":"W2011412098","doi":"10.1117/12.384387","title":"&lt;title&gt;Error- and flow-control protocols for terabit optical networks&lt;/title&gt;","year":2000,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Semiconductor Lasers and Optical Devices","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Scalability; Terabit; Multiprocessing; CMOS; Physical layer; Design flow; Flow control (data); Bandwidth (computing); Error detection and correction; Workstation; Embedded system; Computer hardware; Computer network; Electronic engineering; Parallel computing; Wavelength-division multiplexing; Optoelectronics; Wireless; 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":[0.0005924411,0.0005190048,0.0003836943,0.0005088024,0.0005706599,0.00139272,0.000640887,0.0007142496,0.0271452],"category_scores_gemma":[0.0009090677,0.0002442633,0.0002039241,0.0005025108,0.0007339686,0.001163947,0.0003873031,0.0007693695,0.009921873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001194364,"about_ca_system_score_gemma":0.0005429765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00151904,"about_ca_topic_score_gemma":0.00263305,"domain_scores_codex":[0.9996293,0.00008095443,0.00001881657,0.00005631677,0.0001609463,0.00005358759],"domain_scores_gemma":[0.9994521,0.000148894,0.00005045845,0.0000844328,0.0002279805,0.00003620431],"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":[0.0003809199,0.0001643105,0.0008007471,0.000482998,0.00003826262,0.0005168139,0.0002893652,0.01736979,0.07016851,0.3163878,0.1739373,0.4194632],"study_design_scores_gemma":[0.00007972445,0.0004134147,0.0008502027,0.0001499511,0.00003365007,0.0005429199,0.0001091828,0.1571939,0.05856064,0.04532968,0.7366546,0.00008214707],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01840112,0.006365255,0.8176752,0.003267039,0.00459969,0.0008950268,0.0006999607,0.005845984,0.1422508],"genre_scores_gemma":[0.289565,0.01081288,0.2945133,0.001155389,0.002451276,0.001019226,0.002767216,0.00164616,0.3960695],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0271452,"threshold_uncertainty_score":0.09080976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009954290138907014,"score_gpt":0.225701779587983,"score_spread":0.215747489449076,"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."}}