{"id":"W2067933402","doi":"10.1109/glocom.2011.6133636","title":"PSR: Proactive Source Routing in Mobile Ad Hoc Networks","year":2011,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer network; Computer science; Optimized Link State Routing Protocol; Destination-Sequenced Distance Vector routing; Dynamic Source Routing; Wireless Routing Protocol; Link-state routing protocol; Distributed computing; Wireless ad hoc network; Routing protocol; DSRFLOW; Adaptive quality of service multi-hop routing; Ad hoc wireless distribution service; Routing (electronic design automation); Telecommunications; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004369734,0.0001837859,0.0002046076,0.00007950237,0.00007716096,0.00008051896,0.0009882273,0.00012301,0.0001162371],"category_scores_gemma":[0.00001338784,0.0001657388,0.00006270953,0.0005962423,0.00004396724,0.0005559644,0.0004816951,0.0003469237,0.00007788408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000749152,"about_ca_system_score_gemma":0.00004170708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004218474,"about_ca_topic_score_gemma":0.0001367442,"domain_scores_codex":[0.9982747,0.0001012436,0.0002977698,0.000566035,0.0001870025,0.0005732839],"domain_scores_gemma":[0.9989275,0.00009630163,0.00009985091,0.0007142505,0.00004581984,0.0001162396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002192209,0.0002193869,0.004943016,0.000004235512,0.00002637963,0.00003873707,0.006536249,0.008919249,0.0000148919,0.01614182,0.00105889,0.9620752],"study_design_scores_gemma":[0.0004868589,0.0002249061,0.007181523,0.00003514855,0.000005042536,0.00002021453,0.000327314,0.9833278,0.0004451963,0.001044584,0.006476891,0.0004245108],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02106264,0.001040539,0.9463744,0.00002545537,0.0003010155,0.0005764607,1.3914e-7,0.0003647573,0.03025461],"genre_scores_gemma":[0.9576259,0.00008444506,0.04039181,0.0003089404,0.00008982116,0.0001994973,8.92621e-7,0.00001997376,0.001278698],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9744086,"threshold_uncertainty_score":0.6758631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01893981084603149,"score_gpt":0.2222891015726681,"score_spread":0.2033492907266366,"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."}}