{"id":"W2023162496","doi":"10.4018/jbdcn.2006100102","title":"Simulating Realistic Urban Scenarios for Ad Hoc Networks","year":2006,"lang":"en","type":"article","venue":"International Journal of Business Data Communications and Networking","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Computer science; Mobility model; Animation; Mobile ad hoc network; Ad hoc On-Demand Distance Vector Routing; Wireless ad hoc network; Distributed computing; Routing (electronic design automation); Routing protocol; Computer network; Optimized Link State Routing Protocol; Computer graphics (images); Telecommunications; Wireless","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0009896045,0.000145758,0.0002338367,0.0001436525,0.0002840883,0.0005325135,0.005397623,0.00006967974,0.000002044283],"category_scores_gemma":[0.0000956433,0.0001395471,0.00005372986,0.0003327779,0.0001039803,0.001107295,0.002089062,0.0002625755,3.390169e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006098832,"about_ca_system_score_gemma":0.00008550705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002007295,"about_ca_topic_score_gemma":0.0001054932,"domain_scores_codex":[0.998401,0.00009584606,0.0007369894,0.000239816,0.0003047421,0.0002215882],"domain_scores_gemma":[0.9953479,0.001276966,0.0007876665,0.001582979,0.0009449394,0.00005955354],"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":[0.00005245495,0.0001799365,0.002943521,0.00001112838,0.0001693773,0.0000208184,0.00008995138,0.1627023,0.00002450825,0.02187145,0.007970648,0.8039639],"study_design_scores_gemma":[0.0004599764,0.00001971506,0.001871358,0.0002823744,0.00002638959,0.00008813609,0.000007509749,0.841158,3.520713e-7,0.001843592,0.1541178,0.0001247531],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0004808854,0.02382026,0.9716703,0.002408813,0.001245257,0.0001510759,0.00001984352,0.00003341708,0.0001701823],"genre_scores_gemma":[0.8959282,0.006230472,0.0953458,0.0002177157,0.00186582,0.0000093085,0.0003548127,0.00001987474,0.00002801077],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8954473,"threshold_uncertainty_score":0.9999837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05502246787483747,"score_gpt":0.3081332439850639,"score_spread":0.2531107761102265,"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."}}