{"id":"W2118915137","doi":"10.1109/icves.2011.5983780","title":"The design challenges for unmanned vehicular video streaming","year":2011,"lang":"en","type":"article","venue":"","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Rule of thumb; Section (typography); Latency (audio); Low latency (capital markets); Bandwidth (computing); Multimedia; Telecommunications; Computer network; Operating system","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":[0.0006851899,0.0003989639,0.0002975778,0.0002474017,0.0004296387,0.001206744,0.0006736774,0.0006555161,0.001977873],"category_scores_gemma":[0.001385008,0.0002923423,0.00022109,0.0002740277,0.0004299011,0.001200773,0.0004265519,0.0007776645,0.0006219539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005502412,"about_ca_system_score_gemma":0.0005523262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008023156,"about_ca_topic_score_gemma":0.001133525,"domain_scores_codex":[0.9994218,0.0001091058,0.00003900723,0.0000739086,0.0002977099,0.00005843234],"domain_scores_gemma":[0.9995265,0.0001346736,0.00005564141,0.00004498949,0.0002113402,0.00002684601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001177036,0.00006026789,0.0008584134,0.000771802,0.00005918676,0.0004799267,0.0005010365,0.2033534,0.09045909,0.3019755,0.007345073,0.3940185],"study_design_scores_gemma":[0.00003444929,0.000652933,0.0008905827,0.000135317,0.00006875001,0.00117704,0.0004826719,0.6476725,0.04272781,0.1431026,0.1629868,0.0000685285],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01625473,0.002129547,0.9574866,0.001306885,0.0001947851,0.0001105317,0.00005263622,0.0002784793,0.02218586],"genre_scores_gemma":[0.6982648,0.005321029,0.2718237,0.0006122318,0.0003800683,0.0003203305,0.0001511081,0.0001160377,0.02301073],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001977873,"threshold_uncertainty_score":0.006616592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04955788371998755,"score_gpt":0.2096395629384428,"score_spread":0.1600816792184552,"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."}}