{"id":"W2137242175","doi":"10.1109/icc.2011.5962785","title":"A Seamless Quality-Driven Multi-Hop Data Delivery Scheme for Video Streaming in Urban VANET Scenarios","year":2011,"lang":"en","type":"article","venue":"","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Computer network; Vehicular ad hoc network; Handover; Network packet; Wireless ad hoc network; Real-time computing; Video streaming; Quality of experience; Quality of service; Wireless; Telecommunications","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":[0.001006445,0.0004011874,0.0004036385,0.0005919458,0.0004321859,0.0006047973,0.001184993,0.0005200937,0.0006311298],"category_scores_gemma":[0.001822729,0.0001909309,0.0003353015,0.0004673354,0.0003053271,0.0007840784,0.0009207114,0.000679745,0.0002321948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005749944,"about_ca_system_score_gemma":0.000477354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001554076,"about_ca_topic_score_gemma":0.001934884,"domain_scores_codex":[0.9995649,0.0001014235,0.00003955518,0.00006296347,0.000184272,0.00004692109],"domain_scores_gemma":[0.9993655,0.00009456839,0.00008135979,0.0001173346,0.0002689908,0.0000722855],"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":[0.0006693371,0.0003262697,0.002388926,0.0003485144,0.0002093302,0.000780882,0.0005036697,0.3517467,0.2001155,0.0401415,0.005319886,0.3974495],"study_design_scores_gemma":[0.00004099502,0.0004346913,0.0007124071,0.00001220667,0.00003976626,0.0003522519,0.00006263973,0.9750484,0.01539012,0.002653202,0.005208665,0.00004451979],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04938063,0.0003871451,0.9471192,0.0002007783,0.00009931677,0.0001699806,0.00007504499,0.0007520727,0.001815779],"genre_scores_gemma":[0.7749415,0.0003000144,0.2219748,0.0001049406,0.00004261444,0.00009900428,0.0002390341,0.00005080086,0.002247249],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001554076,"threshold_uncertainty_score":0.005322635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08907786907174746,"score_gpt":0.2831819282258946,"score_spread":0.1941040591541471,"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."}}