{"id":"W2602655753","doi":"10.1109/vtcfall.2016.7880960","title":"Disaster Management and Response for Modern Cellular Networks Using Flow-Based Multi-Hop Device-to-Device Communications","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computer network; Wireless; Base station; Routing (electronic design automation); Throughput; Cellular network; Routing protocol; Wireless broadband; Ant colony optimization algorithms; Wireless network; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002066948,0.0001490007,0.0001369454,0.00009519103,0.0001023492,0.00003006798,0.0001781043,0.00005920063,0.000006818311],"category_scores_gemma":[0.00002133349,0.000123117,0.00002998244,0.0001210601,0.0000223517,0.0001627749,0.00008641365,0.00003780619,0.000007718832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001240364,"about_ca_system_score_gemma":0.000005629043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003667468,"about_ca_topic_score_gemma":0.00004419822,"domain_scores_codex":[0.9992483,0.00005370141,0.0002358011,0.0001846068,0.00005592892,0.0002216431],"domain_scores_gemma":[0.9989547,0.0002271886,0.00002997659,0.0006448201,0.00005924297,0.00008405417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006308062,0.00001426725,0.00005341801,0.00005792205,0.00002518827,5.470844e-7,0.0001447866,0.982676,0.01103452,0.0000587405,0.00005169726,0.005819785],"study_design_scores_gemma":[0.0008803178,0.00001189789,0.00003981976,0.000143179,0.00002701013,5.301979e-7,0.00008277341,0.9959755,0.0007846788,0.0000153056,0.00185032,0.0001886604],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009580595,0.0003145375,0.9886841,0.0001316693,0.0000863392,0.0008407958,0.00001256018,0.0002212259,0.0001281925],"genre_scores_gemma":[0.5226448,0.00001475177,0.4767195,0.00007632367,0.00001696756,0.0000990137,0.000007860179,0.00004519912,0.0003756059],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5130642,"threshold_uncertainty_score":0.5020564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03785732440660455,"score_gpt":0.273311145705937,"score_spread":0.2354538212993325,"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."}}