{"id":"W3001257962","doi":"10.1007/978-3-642-14785-2","title":"Ad-Hoc, Mobile and Wireless Networks","year":2010,"lang":"en","type":"book","venue":"Lecture notes in computer science","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria; University of Alberta","funders":"","keywords":"Computer science; Wireless ad hoc network; Mobile ad hoc network; Wireless network; Computer network; Ad hoc wireless distribution service; Wireless; Vehicular ad hoc network; Mobile wireless; Set (abstract data type); Optimized Link State Routing Protocol; 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":["metaepi_narrow","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001266305,0.0007448999,0.000781135,0.0005411343,0.0003649967,0.001135583,0.005241395,0.0009348085,0.00001861418],"category_scores_gemma":[0.00004185826,0.0006940183,0.0001250898,0.001364802,0.00136509,0.0007910858,0.003343971,0.002738614,0.00002541078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000298669,"about_ca_system_score_gemma":0.0010292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000079643,"about_ca_topic_score_gemma":0.0001870662,"domain_scores_codex":[0.9946526,0.00008571918,0.0006100098,0.002429688,0.0009948711,0.001227139],"domain_scores_gemma":[0.9956951,0.0009037815,0.0003538221,0.002425529,0.0002286197,0.0003932173],"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":[0.000003530747,0.00002823312,0.00002573306,0.00002830134,0.000007259441,0.00008257497,0.0003746065,0.04923911,0.00005422097,0.001232073,0.0003098432,0.9486145],"study_design_scores_gemma":[0.0002699791,0.0002126782,0.0001120526,0.0002684377,0.000007736345,0.0001420647,9.223657e-8,0.9603847,0.0001230141,0.02474916,0.01290699,0.0008230392],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0004097802,0.003460162,0.9900112,0.0001867426,0.004029443,0.0007848167,0.00000233065,0.0003037541,0.0008117461],"genre_scores_gemma":[0.2027973,0.001737427,0.7827668,0.005642378,0.004270752,0.00030567,0.00002811382,0.0002178134,0.002233716],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9477915,"threshold_uncertainty_score":0.9999014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006274591855507203,"score_gpt":0.2226005963593611,"score_spread":0.2163260045038539,"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."}}