{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006914512,0.0004555881,0.0005689673,0.0006149283,0.0007514406,0.0006857027,0.00117291,0.0007566477,0.0008784412],"category_scores_gemma":[0.002879065,0.000228844,0.0002633719,0.0007361454,0.0003370529,0.001200848,0.0008155245,0.0003844843,0.0003593726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006167128,"about_ca_system_score_gemma":0.001154019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01171304,"about_ca_topic_score_gemma":0.01154518,"domain_scores_codex":[0.9995781,0.000117558,0.00003342073,0.00005297581,0.0001214934,0.0000964977],"domain_scores_gemma":[0.9982859,0.0005844129,0.0001703605,0.0004010936,0.0004465602,0.0001115508],"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":[0.002087416,0.0004477665,0.01895859,0.0006748581,0.0002383662,0.00366141,0.001796619,0.1363367,0.1873128,0.04795516,0.0212726,0.5792577],"study_design_scores_gemma":[0.00008141446,0.000268967,0.001725073,0.00002895117,0.000108533,0.0008883055,0.0004631523,0.9377713,0.03449274,0.006051427,0.01805239,0.00006775001],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4018271,0.003027436,0.5803953,0.0008084417,0.0001961514,0.0002987569,0.0002254976,0.006130406,0.007090997],"genre_scores_gemma":[0.9550931,0.0004113965,0.0417572,0.00006682774,0.00003943243,0.00004000763,0.0001592703,0.00004164358,0.002391235],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01171304,"threshold_uncertainty_score":0.02328968,"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."}}