{"id":"W146461228","doi":"","title":"On the Robustness of Simple Indoor MANET Simulation Models.","year":2007,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Robustness (evolution); Mobility model; Routing protocol; Soundness; Computer network; Simple (philosophy); Node (physics); Mobile ad hoc network; Radio propagation; Radio propagation model; Routing (electronic design automation); 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":[0.0005134085,0.00007199099,0.00008067345,0.00003963199,0.00004953858,0.00002968973,0.0005558201,0.00004552144,0.00006401425],"category_scores_gemma":[0.00001615973,0.00004595928,0.00003051952,0.0002741164,0.00002330821,0.0002010671,0.0001199757,0.00008500564,0.0000105988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001669614,"about_ca_system_score_gemma":0.00001304127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001972907,"about_ca_topic_score_gemma":0.00003872444,"domain_scores_codex":[0.9991975,0.00003002313,0.0001835255,0.0001697388,0.0002393508,0.000179876],"domain_scores_gemma":[0.9986676,0.0006404971,0.00006861915,0.0005315199,0.00005728794,0.00003448334],"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":[0.000004350882,0.00001666598,0.00001949222,0.000001307737,0.000002398223,7.596516e-7,0.00004540303,0.7536232,0.000006421905,0.2358854,0.0006098936,0.009784688],"study_design_scores_gemma":[0.00009778678,0.0000342333,0.0003335473,0.000004018963,0.000001193752,6.852881e-7,0.000008289557,0.9829289,0.0004414148,0.01586299,0.0002295757,0.00005740295],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0827806,0.000007855762,0.9080817,0.0001371224,0.0000960673,0.0001608602,2.838859e-7,0.0000586654,0.008676868],"genre_scores_gemma":[0.9940735,6.769213e-7,0.005403651,0.0003183514,0.00004875781,0.000003330254,0.000001153269,0.000004964065,0.0001456186],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9112929,"threshold_uncertainty_score":0.1874165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02759090552116834,"score_gpt":0.2587814725777786,"score_spread":0.2311905670566103,"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."}}