{"id":"W2497631959","doi":"","title":"Plenary lecture 4: multipath routing over wireless mesh networks for multiple description video","year":2010,"lang":"en","type":"article","venue":"International Conference on Communications","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Computer network; Multipath routing; Wireless mesh network; Multipath propagation; Network packet; Distributed computing; Wireless; Dynamic Source Routing; Wireless network; Routing protocol; Telecommunications; Channel (broadcasting)","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":[0.001195339,0.001387447,0.0008998733,0.0007841248,0.0006847907,0.001714896,0.001267606,0.002032769,0.02914502],"category_scores_gemma":[0.002117172,0.0003748169,0.0008957747,0.0008273606,0.0005117315,0.002144507,0.001282702,0.004429642,0.01653677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001338606,"about_ca_system_score_gemma":0.0007092246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001102836,"about_ca_topic_score_gemma":0.0008801541,"domain_scores_codex":[0.9992809,0.0001302189,0.00004770955,0.0002197825,0.0002269351,0.0000944036],"domain_scores_gemma":[0.9992535,0.0002813792,0.00002767495,0.00004875083,0.0002263029,0.0001624137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003566393,0.0002779487,0.0006087535,0.0007231051,0.00008559417,0.0004248304,0.0002263567,0.01021702,0.005681996,0.04301564,0.5452603,0.3931218],"study_design_scores_gemma":[0.0001126139,0.0007303632,0.0013186,0.0004234216,0.00008768619,0.000928671,0.0001648377,0.04222409,0.004982353,0.03792459,0.9109944,0.0001083542],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01248524,0.07330534,0.4106272,0.08378641,0.1626888,0.0006786894,0.001007729,0.002681808,0.2527388],"genre_scores_gemma":[0.1198499,0.08160221,0.1292693,0.009058304,0.1434792,0.0006589403,0.001848382,0.001952412,0.5122814],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02914502,"threshold_uncertainty_score":0.09749973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05489417028073115,"score_gpt":0.3085757327005638,"score_spread":0.2536815624198326,"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."}}