{"id":"W4410727826","doi":"10.14419/sxnnhw10","title":"Comprehensive analysis of manet routing protocols and quality of service metrics","year":2025,"lang":"en","type":"article","venue":"International Journal of Basic and Applied Sciences","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Mobile ad hoc network; Quality of service; Routing (electronic design automation); Routing protocol; Computer network","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":[0.002473525,0.001175109,0.0009610449,0.005217086,0.000758879,0.00202322,0.0008096186,0.0007121687,0.00120412],"category_scores_gemma":[0.009328983,0.0003040238,0.0006923031,0.005361541,0.0004067373,0.002749377,0.0006141731,0.0009052081,0.0004309388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00141552,"about_ca_system_score_gemma":0.001092407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001509173,"about_ca_topic_score_gemma":0.001380457,"domain_scores_codex":[0.9977306,0.0004040242,0.0001826759,0.0002166741,0.001327003,0.0001391157],"domain_scores_gemma":[0.9948515,0.002516476,0.0007701642,0.0004098699,0.001349784,0.0001022402],"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":[0.0001375155,0.0002482756,0.0169653,0.001453163,0.0003814948,0.0005563377,0.0003432073,0.3001355,0.01075397,0.1431119,0.0121854,0.513728],"study_design_scores_gemma":[0.00001199278,0.0005592644,0.01877831,0.0005531733,0.0002689809,0.00229755,0.0006735596,0.7368783,0.01041294,0.1280845,0.1013259,0.0001556274],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1527528,0.08442485,0.7040177,0.003936494,0.0008145337,0.0009075201,0.00435522,0.001648132,0.04714273],"genre_scores_gemma":[0.7465436,0.05880336,0.1796528,0.0005072754,0.0006145056,0.0006861623,0.004886622,0.0002832405,0.008022444],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005217086,"threshold_uncertainty_score":0.01308137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05261432576009362,"score_gpt":0.355744820877298,"score_spread":0.3031304951172044,"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."}}