{"id":"W2047008061","doi":"10.1007/s11235-009-9229-y","title":"Sensitivity of SWAN QoS model in MANETs with proactive and reactive routing: a simulation study","year":2009,"lang":"en","type":"article","venue":"Telecommunication Systems","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Sensitivity (control systems); Computer network; Quality of service; Routing (electronic design automation)","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":[0.002282577,0.0006543414,0.0006612224,0.00099717,0.0005529723,0.0008814411,0.001031093,0.001586005,0.001180171],"category_scores_gemma":[0.00881405,0.0004647687,0.000704497,0.0006887846,0.0009541883,0.001191201,0.0008004305,0.001212665,0.0001139414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001859284,"about_ca_system_score_gemma":0.0007211256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01335036,"about_ca_topic_score_gemma":0.00566872,"domain_scores_codex":[0.9991659,0.0003967047,0.00002850328,0.00008711388,0.0001274382,0.000194368],"domain_scores_gemma":[0.9914435,0.007100556,0.0004892445,0.0002496525,0.0005085306,0.0002084461],"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":[0.00006612968,0.0000597751,0.001181743,0.00001789658,0.00001656362,0.00006002439,0.00003162402,0.9958325,0.0006183479,0.001170017,0.0001576908,0.0007876999],"study_design_scores_gemma":[0.00000556676,0.00004341617,0.0003109214,0.000003263833,0.000009048747,0.00001727194,0.00002669953,0.9988223,0.0002845732,0.0004148571,0.00005720528,0.000004852951],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9632155,0.0004240857,0.02685313,0.0006342757,0.00008345534,0.00008714348,0.0002506289,0.0001284806,0.008323223],"genre_scores_gemma":[0.9975733,0.0001068489,0.00144903,0.00004797394,0.000008391004,0.0000171149,0.000052886,0.00001282679,0.0007314479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01335036,"threshold_uncertainty_score":0.02654535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02758022155359529,"score_gpt":0.280097441937171,"score_spread":0.2525172203835757,"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."}}