{"id":"W4415368556","doi":"10.1109/tccn.2025.3623369","title":"Internet of Agents: Fundamentals, Applications, and Challenges","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Cognitive Communications and Networking","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Orchestration; The Internet; Key (lock); Task (project management); Incentive; Trustworthiness; Virtual 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":[0.002443988,0.0007362927,0.001141697,0.00230253,0.001671593,0.00752263,0.002406904,0.003367361,0.002252023],"category_scores_gemma":[0.003880276,0.0009379028,0.000491115,0.004509084,0.003657036,0.01148903,0.003306597,0.005550417,0.001185197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001970778,"about_ca_system_score_gemma":0.001913793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001899005,"about_ca_topic_score_gemma":0.001273294,"domain_scores_codex":[0.9979849,0.000665823,0.0001532835,0.0003120224,0.0007392366,0.0001447386],"domain_scores_gemma":[0.9975433,0.001298896,0.0001491565,0.0003064976,0.0004289629,0.0002732222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002863942,0.00007111048,0.001189263,0.001101557,0.00002853032,0.0002876368,0.0005406543,0.007407466,0.0006509431,0.7474416,0.03210649,0.2091462],"study_design_scores_gemma":[0.000008813124,0.00003942452,0.0005729075,0.0007587288,0.00001765802,0.0008225663,0.0006476659,0.02844818,0.0002535855,0.5310516,0.4373395,0.00003943231],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01104102,0.6229534,0.2047894,0.0687087,0.00334513,0.0002667145,0.0004077885,0.0008489371,0.08763891],"genre_scores_gemma":[0.1741409,0.6823425,0.1175182,0.004334083,0.007045023,0.0005566553,0.0005258158,0.0002166776,0.01332024],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00752263,"threshold_uncertainty_score":0.01429909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08745237762335628,"score_gpt":0.3008252907150247,"score_spread":0.2133729130916684,"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."}}