{"id":"W2135851458","doi":"10.1109/aina.2012.93","title":"Assessing the Expected Performance of the OLSR Routing Protocol for Denser Urban Core Ad Hoc Network Deployments","year":2012,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Optimized Link State Routing Protocol; Computer science; Computer network; Routing protocol; Ad hoc wireless distribution service; Wireless ad hoc network; Node (physics); Mobile ad hoc network; Distributed computing; Routing (electronic design automation); Telecommunications; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002450479,0.0005446855,0.0002970845,0.0009618078,0.0004415645,0.0007876374,0.0006288901,0.0007886047,0.000806658],"category_scores_gemma":[0.01386008,0.0001729475,0.0002163827,0.0008424348,0.0005678166,0.001793368,0.0004918011,0.0005016783,0.0004205065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007969395,"about_ca_system_score_gemma":0.0004743024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003300335,"about_ca_topic_score_gemma":0.002693515,"domain_scores_codex":[0.9979745,0.0004965613,0.0001462254,0.0002848615,0.000732545,0.000365267],"domain_scores_gemma":[0.9870483,0.007209976,0.001294309,0.001061035,0.003011744,0.0003745383],"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":[0.00149083,0.0009648424,0.07927705,0.0004079575,0.0001618275,0.0008624251,0.0004913709,0.7752237,0.06040082,0.004474623,0.00260226,0.07364237],"study_design_scores_gemma":[0.00009310583,0.006999169,0.08050431,0.00005372451,0.00008784737,0.001072442,0.00104201,0.8444527,0.06084952,0.002513191,0.002230276,0.0001016898],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9765505,0.0001383027,0.01716814,0.0001699699,0.00003349907,0.0001756882,0.0004552189,0.0003613758,0.004947315],"genre_scores_gemma":[0.9926403,0.0001018381,0.006243793,0.00002508208,0.000006899217,0.0000521827,0.0003289115,0.00002531656,0.000575598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003300335,"threshold_uncertainty_score":0.01295954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05502475831077048,"score_gpt":0.3267716475797525,"score_spread":0.271746889268982,"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."}}