{"id":"W2794657874","doi":"10.1155/2018/3489169","title":"Corrigendum to “Hardware Accelerators Targeting a Novel Group Based Packet Classification Algorithm”","year":2018,"lang":"en","type":"erratum","venue":"International Journal of Reconfigurable Computing","topic":"Network Packet Processing and Optimization","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; Computer hardware; Algorithm","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":[0.001441229,0.001451552,0.001211821,0.002205722,0.00247848,0.002452573,0.002705945,0.004070275,0.0679286],"category_scores_gemma":[0.01738765,0.0006094986,0.001058713,0.001427624,0.001277664,0.001690995,0.00170153,0.004872224,0.03455253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002668101,"about_ca_system_score_gemma":0.002050073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007571141,"about_ca_topic_score_gemma":0.01305564,"domain_scores_codex":[0.9971623,0.0002902191,0.0002504848,0.0004052162,0.001650161,0.0002416189],"domain_scores_gemma":[0.9878623,0.001628293,0.0003920608,0.0006515259,0.008975453,0.0004902922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004805875,0.00001712565,0.00008244084,0.0001258144,0.00001134411,0.0001865048,0.00001917407,0.0001520919,0.0004442956,0.001411919,0.9847504,0.01275089],"study_design_scores_gemma":[0.00002469765,0.00008815989,0.0006391878,0.0001173802,0.00003816338,0.0004639623,0.00005397324,0.001739537,0.003948641,0.001994557,0.9908408,0.00005100809],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0004968312,0.002443147,0.006723441,0.04561213,0.9330333,0.00005685607,0.0005925349,0.0009720805,0.01006957],"genre_scores_gemma":[0.02447476,0.01018212,0.01577811,0.06892864,0.2079858,0.0001822975,0.003140216,0.002192625,0.6671355],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0679286,"threshold_uncertainty_score":0.2272438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03416147638072677,"score_gpt":0.2820941755169756,"score_spread":0.2479326991362488,"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."}}