{"id":"W2145414136","doi":"10.1109/ccece.2003.1226061","title":"A simulation framework for ad-hoc wireless networks","year":2004,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Wireless ad hoc network; Computer network; Mobile ad hoc network; Protocol stack; Optimized Link State Routing Protocol; Distributed computing; Ad hoc wireless distribution service; Vehicular ad hoc network; Network packet; Adaptive quality of service multi-hop routing; Routing protocol; Wireless network; Throughput; Wireless; Wireless sensor network; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00365984,0.001951601,0.001630974,0.001773692,0.001297596,0.002591813,0.004164385,0.002292838,0.009240252],"category_scores_gemma":[0.006732064,0.0010354,0.002242764,0.001594406,0.001110747,0.002499123,0.002183359,0.003223256,0.002959629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001383284,"about_ca_system_score_gemma":0.002145865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005618723,"about_ca_topic_score_gemma":0.004095745,"domain_scores_codex":[0.9976506,0.001163181,0.0002900274,0.000167628,0.0006185276,0.0001099643],"domain_scores_gemma":[0.9973354,0.001761575,0.0001056041,0.0002508606,0.0004201565,0.0001263765],"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":[0.0001298196,0.0001451825,0.0006964867,0.0007705185,0.0001923361,0.0002858765,0.0003747392,0.5983105,0.004320464,0.3134804,0.01778294,0.06351065],"study_design_scores_gemma":[0.00009991738,0.00008139308,0.0001136221,0.0001816849,0.00005456594,0.000131072,0.00004219611,0.8218009,0.001806351,0.06546433,0.1101714,0.000052579],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0006642061,0.0003648724,0.9904655,0.0001878833,0.0001178746,0.0002603997,0.0005119666,0.004210098,0.003217177],"genre_scores_gemma":[0.03583937,0.002018503,0.9517637,0.000180069,0.0001431139,0.002858771,0.002287335,0.001061338,0.003847758],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009240252,"threshold_uncertainty_score":0.03091168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01662829559214272,"score_gpt":0.2736686003921483,"score_spread":0.2570403048000056,"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."}}