{"id":"W2913342302","doi":"10.5539/cis.v12n1p82","title":"Ant Colony Optimization (ACO) Based MANET Routing Protocols: A Comprehensive Review","year":2019,"lang":"en","type":"review","venue":"Computer and Information Science","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Bottleneck; Mobile ad hoc network; Computer network; Network packet; Ant colony optimization algorithms; Routing protocol; Field (mathematics); Routing (electronic design automation); Link-state routing protocol; Popularity; Distributed computing; Artificial intelligence; Embedded system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001296699,0.0004504152,0.001210015,0.0004618405,0.0003512615,0.001338708,0.002355959,0.0001533682,0.00001348941],"category_scores_gemma":[0.00005769823,0.0003623443,0.0001665121,0.002373186,0.0002265181,0.00805176,0.001157872,0.0003638626,0.0001589749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001755455,"about_ca_system_score_gemma":0.001071798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002479914,"about_ca_topic_score_gemma":4.479874e-8,"domain_scores_codex":[0.996583,0.0001742422,0.001253862,0.0006388165,0.0008408385,0.0005092736],"domain_scores_gemma":[0.9966224,0.0002535472,0.001161608,0.001154993,0.0006039977,0.0002034764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[5.777935e-7,0.000009539403,5.143585e-7,0.01979912,0.000005888777,0.000001178697,0.00005596635,0.005834573,9.95352e-9,0.002518754,0.001548629,0.9702253],"study_design_scores_gemma":[0.000105163,0.00006086105,0.000002222612,0.01853024,0.00002074301,0.00003930621,6.522935e-7,0.470293,8.928674e-8,0.00000271041,0.5107176,0.0002273599],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[1.31564e-8,0.4377919,0.5518274,0.00003752043,0.0003479754,0.009400459,0.000004934695,0.0001084122,0.0004813494],"genre_scores_gemma":[4.837148e-7,0.9010032,0.09438915,0.002624907,0.00008385097,0.001816187,0.00006491885,0.00000999302,0.000007269095],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9699979,"threshold_uncertainty_score":0.9998829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0569412825671461,"score_gpt":0.3402812193928622,"score_spread":0.2833399368257161,"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."}}