{"id":"W1575538731","doi":"","title":"Analysis and performance evaluation of data transport methods in Content-Centric Networking","year":2013,"lang":"en","type":"article","venue":"Asia-Pacific Network Operations and Management Symposium","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Bandwidth (computing); Content centric networking; Computer network; Content delivery","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002056018,0.000143249,0.0002536882,0.0003052054,0.0001847259,0.0001762738,0.0004150967,0.00003994035,0.00001092358],"category_scores_gemma":[0.000002819011,0.0001330855,0.0000385419,0.001188342,0.00003935752,0.001075975,0.0002531356,0.00008654707,0.000001671949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000258264,"about_ca_system_score_gemma":0.000018257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002709712,"about_ca_topic_score_gemma":0.0001607858,"domain_scores_codex":[0.9982993,0.0002398612,0.0004137885,0.000519853,0.0002763493,0.0002508383],"domain_scores_gemma":[0.9989805,0.00004668648,0.00007680109,0.0007219739,0.0001136845,0.00006041868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001321951,0.0001446311,0.2230326,0.00006606402,0.0007686538,0.000003683194,0.0005976257,0.108009,0.0003437505,0.006443865,0.0005140161,0.6600628],"study_design_scores_gemma":[0.0003974703,0.00002753502,0.1033335,0.00003882425,0.0003849872,0.000001800964,0.0002060919,0.8950301,0.000007618359,0.00004127947,0.0003950793,0.0001357026],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2510775,0.002294601,0.7373114,0.001122081,0.0004355332,0.001431973,0.000004545278,0.00006523838,0.006257194],"genre_scores_gemma":[0.9639173,0.00293161,0.03259133,0.00005627192,0.00005129767,0.00008503542,0.00006878743,0.000006144402,0.0002922271],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7870211,"threshold_uncertainty_score":0.5427068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05503969693211994,"score_gpt":0.2953566142127356,"score_spread":0.2403169172806157,"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."}}