{"id":"W4407128782","doi":"10.1109/jiot.2025.3538167","title":"OpenL3: Embedding Diverse Network Services into MANETs Using Multidimensional Identifier","year":2025,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Beijing Jiaotong University; National Natural Science Foundation of China","keywords":"Computer science; Computer network; Identifier; Mobile ad hoc network; Embedding; Distributed computing; Artificial intelligence","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":[0.001101499,0.0002415401,0.000367159,0.000234885,0.0002495598,0.0004900226,0.0019935,0.0001352019,0.0001095056],"category_scores_gemma":[0.00002238092,0.0002255608,0.0002007865,0.0003961383,0.00007462476,0.001876304,0.001079636,0.0006472902,0.00002555123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001349981,"about_ca_system_score_gemma":0.0001069422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004019457,"about_ca_topic_score_gemma":0.00002710205,"domain_scores_codex":[0.997679,0.0001565328,0.0007394618,0.0004093516,0.000552677,0.0004629994],"domain_scores_gemma":[0.998362,0.0001620506,0.0005922077,0.0004327518,0.0002994609,0.0001515375],"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":[0.000378116,0.0004655829,0.01456335,0.000553762,0.001696807,0.001393395,0.02148325,0.7252452,0.03698975,0.02580971,0.09137404,0.08004707],"study_design_scores_gemma":[0.0005798936,0.00004740916,0.000337552,0.001621361,0.00004589025,0.0003149796,0.0001397485,0.9833817,0.004895009,0.006555361,0.001841841,0.0002392619],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3668269,0.0005334173,0.6252375,0.0001532619,0.006450024,0.0001327567,3.26643e-7,0.00005281269,0.000613039],"genre_scores_gemma":[0.8408149,0.00002983562,0.156913,0.001060509,0.0003715631,0.000002286862,8.241565e-7,0.00001506762,0.0007920148],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.473988,"threshold_uncertainty_score":0.9198101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01394746298546801,"score_gpt":0.2902983454777164,"score_spread":0.2763508824922484,"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."}}