{"id":"W4247426359","doi":"10.1007/978-3-319-25067-0","title":"Ad Hoc Networks","year":2015,"lang":"en","type":"book","venue":"Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Technical University of Athens; Indian Statistical Institute; Istanbul Teknik Üniversitesi; Università di Pisa; Università della Calabria; Bilkent Üniversitesi; Università di Bologna; Wayne State University; National and Kapodistrian University of Athens; Université de Strasbourg; West Virginia University; Centre National de la Recherche Scientifique; University of Ottawa; University of Notre Dame; University of Central Florida; Florida International University","keywords":"Wireless ad hoc network; Computer science; Mobile ad hoc network; Computer network; Telecommunications","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006606268,0.0003253616,0.0004478643,0.0001649733,0.0007496539,0.0003513633,0.004035888,0.0003165876,4.47217e-7],"category_scores_gemma":[0.00006040465,0.0002624349,0.0002076916,0.000525193,0.0004346498,0.0005033896,0.001759021,0.0006193403,8.060609e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001513891,"about_ca_system_score_gemma":0.0005426593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005710373,"about_ca_topic_score_gemma":0.00005356841,"domain_scores_codex":[0.9983903,0.00002352433,0.0006744356,0.0002024064,0.000357137,0.0003522657],"domain_scores_gemma":[0.9976915,0.000376165,0.000549689,0.001036061,0.0002599756,0.0000865796],"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":[7.591337e-7,0.000009286991,6.462203e-7,0.00007518113,0.00004447378,7.208448e-8,0.0007878158,0.9376687,3.267736e-7,0.0131399,0.002447617,0.04582517],"study_design_scores_gemma":[0.0001573502,0.00005851335,0.000007888108,0.0001491261,0.0000257045,0.00001034906,0.000001364249,0.8385404,0.000004118668,0.001178193,0.1596093,0.0002576918],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00001772597,0.00335419,0.9919503,0.0005895899,0.001191144,0.0005902688,0.00002236408,0.0001127854,0.00217164],"genre_scores_gemma":[0.001098613,0.0003722458,0.9975926,0.0003040178,0.0003127018,0.00004787097,0.00004842907,0.00002055152,0.0002029605],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1571616,"threshold_uncertainty_score":0.9999828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02009633042537533,"score_gpt":0.2369981332973564,"score_spread":0.2169018028719811,"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."}}