{"id":"W2738496724","doi":"10.23919/inm.2017.7987348","title":"Ensuring two routes connectivity in mobile ad hoc networks with Random Waypoint mobility","year":2017,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Waypoint; Mobility model; Computer science; Computer network; Wireless ad hoc network; Node (physics); Mobile ad hoc network; Probabilistic logic; Reliability (semiconductor); Network packet; Mobile computing; Delay-tolerant networking; Distributed computing; Vehicular ad hoc network; Optimized Link State Routing Protocol; Wireless; Real-time computing; Routing protocol; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00149026,0.0003129204,0.0005274673,0.00006632265,0.0004345902,0.0006401128,0.001740132,0.0001111078,0.00004586618],"category_scores_gemma":[0.0001563227,0.0002439615,0.0001035452,0.0001963807,0.0002019664,0.001257132,0.0009248712,0.0004598528,0.00002098048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001283383,"about_ca_system_score_gemma":0.00007752776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003305871,"about_ca_topic_score_gemma":0.005201133,"domain_scores_codex":[0.9974368,0.0002020453,0.0003829754,0.0009547552,0.0003204012,0.0007029983],"domain_scores_gemma":[0.9961026,0.000560467,0.0002545154,0.002737107,0.0001609283,0.0001844145],"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":[0.0006024749,0.000794381,0.09987865,0.00004199796,0.00009635241,0.0002162354,0.0008696424,0.4038246,0.0000971269,0.008243967,0.0005841859,0.4847504],"study_design_scores_gemma":[0.00721428,0.0003435539,0.09085921,0.0001207996,0.00001110893,0.00002544502,0.00004925337,0.8963455,0.0006924702,0.001716875,0.001951452,0.0006700513],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4868584,0.001232456,0.5042965,0.0001464303,0.0005496535,0.00108962,9.838101e-7,0.0003011711,0.005524784],"genre_scores_gemma":[0.9878371,0.0001478679,0.01116061,0.0001161159,0.0001533276,0.0003396195,0.000001183826,0.00002043545,0.0002237047],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5009788,"threshold_uncertainty_score":0.994846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01255580453666839,"score_gpt":0.247347086115449,"score_spread":0.2347912815787806,"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."}}