{"id":"W2203876954","doi":"10.1109/lcnw.2015.7365935","title":"Caching and forwarding assistance for vehicular information services with mobile requesters","year":2015,"lang":"en","type":"article","venue":"","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Computer network; Scheme (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":[0.0002617982,0.00006548568,0.00007546434,0.00004433879,0.00008372888,0.0002896814,0.0001626404,0.00002057108,1.26278e-7],"category_scores_gemma":[0.000005749076,0.00004872108,0.0000169315,0.00006682392,0.00000838067,0.002091701,0.000053957,0.00003873806,0.000002181991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002616397,"about_ca_system_score_gemma":0.00002293077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001308303,"about_ca_topic_score_gemma":0.0000352225,"domain_scores_codex":[0.9995299,0.00001235682,0.00009678877,0.0001145754,0.0001318549,0.0001145326],"domain_scores_gemma":[0.9996057,0.00002754307,0.00005076929,0.0001584702,0.00009189709,0.00006568275],"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":[0.0007009658,0.0001816161,0.06630038,0.00172411,0.0004649813,0.00004397172,0.05515863,0.1787508,0.003580682,0.1821994,0.005059034,0.5058355],"study_design_scores_gemma":[0.001285733,0.0003580193,0.000634325,0.0001212661,0.00001666381,0.00003869511,0.001880253,0.9801266,0.0003790334,0.0006930324,0.01416472,0.0003017086],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2972507,0.00009294029,0.7010925,0.0001668896,0.00007518116,0.0001500691,0.000001018211,0.000107451,0.001063239],"genre_scores_gemma":[0.9808457,0.000002748114,0.01850901,0.00051209,0.00001539138,0.00003231758,0.000003717483,0.000002658965,0.00007639778],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8013757,"threshold_uncertainty_score":0.2793404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01074642502048767,"score_gpt":0.2127066835714342,"score_spread":0.2019602585509466,"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."}}