{"id":"W1997488760","doi":"10.5555/1400549.1400611","title":"RMobiGen: a trace generation, visualization, and performance analysis tool for random mobility models","year":2008,"lang":"en","type":"article","venue":"Spring Simulation Multiconference","topic":"Opportunistic and Delay-Tolerant Networks","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Computer science; Credibility; Mobility model; TRACE (psycholinguistics); Visualization; Generator (circuit theory); Simulation software; Component (thermodynamics); Discrete event simulation; Software; Distributed computing; Data visualization; Human–computer interaction; Simulation; Data mining","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":[0.0021733,0.001476207,0.0008977994,0.002250198,0.0004059068,0.001055664,0.002585016,0.0009447806,0.009756496],"category_scores_gemma":[0.009727827,0.0007955935,0.0007805806,0.001127806,0.0004405582,0.001659849,0.001416089,0.001606523,0.002098032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005651292,"about_ca_system_score_gemma":0.00113234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002711145,"about_ca_topic_score_gemma":0.002406687,"domain_scores_codex":[0.9989951,0.0003391723,0.00009672291,0.0001025883,0.0003913137,0.00007511109],"domain_scores_gemma":[0.9962999,0.002453837,0.0002599436,0.0004923012,0.0003733817,0.0001205224],"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":[0.0007327588,0.0005507237,0.006244238,0.001095388,0.0002638563,0.001092518,0.001164745,0.4950727,0.01616956,0.04005109,0.1011846,0.3363778],"study_design_scores_gemma":[0.0001219787,0.00007665039,0.0003790815,0.00006383849,0.00002205269,0.0001941849,0.00003690744,0.9633932,0.008274553,0.006408148,0.0209806,0.00004895591],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006409459,0.00009363319,0.8888785,0.0001662824,0.00006093188,0.0001897448,0.001441841,0.1006184,0.002141155],"genre_scores_gemma":[0.188504,0.0005608331,0.7821255,0.0002097112,0.00005284857,0.001318945,0.005453516,0.01800137,0.003773317],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009756496,"threshold_uncertainty_score":0.03263879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07629309336313099,"score_gpt":0.2917831664658952,"score_spread":0.2154900731027642,"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."}}