{"id":"W2266146385","doi":"10.1007/s11432-015-5279-9","title":"Modeling of miss-probability in content-centric networking","year":2015,"lang":"en","type":"article","venue":"Science China Information Sciences","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; The Internet; Cache; Network topology; Computer network; Information-centric networking; Bandwidth (computing); Content delivery; Tree (set theory); Distributed computing; World Wide Web; Mathematics","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":[0.006158591,0.0001070794,0.0001633307,0.0006543794,0.0002842683,0.000475883,0.002017362,0.00003052799,0.000001354779],"category_scores_gemma":[0.0005689843,0.00008577808,0.00004390229,0.003921049,0.0005859099,0.008918367,0.0003664934,0.000118666,0.00001466268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000135303,"about_ca_system_score_gemma":0.0007487247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008435913,"about_ca_topic_score_gemma":0.00002431173,"domain_scores_codex":[0.9974347,0.00004998743,0.0005683397,0.0002878961,0.001237456,0.0004215667],"domain_scores_gemma":[0.9989034,0.00003737799,0.00019208,0.0003509708,0.0003535525,0.0001626125],"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":[0.0000152984,0.00007994087,0.03143176,0.00002469265,0.000002185589,0.000001356135,0.01152443,0.827078,0.0004867643,0.0634526,0.00005349332,0.06584944],"study_design_scores_gemma":[0.0002428157,0.00005959511,0.00237141,0.0000348133,7.259013e-7,0.000006402669,0.0007384648,0.9903346,0.0001617719,0.005899935,0.00003841247,0.0001110838],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8224524,0.0001086522,0.1680919,0.000419666,0.0008785089,0.0001651302,7.594289e-7,0.00006755052,0.007815474],"genre_scores_gemma":[0.9955182,0.000008523566,0.004295074,0.0001481503,0.00001834806,0.000004149053,4.870247e-7,9.061554e-7,0.000006157455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1730658,"threshold_uncertainty_score":0.6465601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.122470237296772,"score_gpt":0.277534274135334,"score_spread":0.155064036838562,"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."}}