{"id":"W4406158168","doi":"10.1109/tits.2024.3522243","title":"Service-Oriented Edge Collaboration: Digital Twin Enabled Edge Collaboration for Composite Services in AVNs","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Intelligent Transportation Systems","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Key Research and Development Program of China; Natural Science Foundation of Shaanxi Province; National Natural Science Foundation of China","keywords":"Stackelberg competition; Service (business); Computer science; Enhanced Data Rates for GSM Evolution; Resource (disambiguation); Service provider; Computer network; Resource allocation; Business; Telecommunications; Microeconomics; Marketing; Economics","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":[0.0009769106,0.0005850677,0.0006145032,0.0007375863,0.001347616,0.001774243,0.001464636,0.0008930626,0.002195108],"category_scores_gemma":[0.002363324,0.0002105869,0.000600234,0.001009598,0.0008672878,0.003011696,0.0037294,0.001088317,0.0005352413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001073904,"about_ca_system_score_gemma":0.001898471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003909985,"about_ca_topic_score_gemma":0.004706331,"domain_scores_codex":[0.9987948,0.0003178158,0.00008332929,0.0002567947,0.0002988677,0.000248324],"domain_scores_gemma":[0.9989201,0.0002239179,0.0001016211,0.0002412337,0.0002956635,0.000217594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00101862,0.0005136544,0.005796556,0.0004377912,0.0001571051,0.001788139,0.001882309,0.2284361,0.06089185,0.3703282,0.008323911,0.3204259],"study_design_scores_gemma":[0.00004101364,0.0001968935,0.0005628316,0.00003449113,0.00005884819,0.0006094094,0.0004438343,0.9146745,0.01105367,0.05410168,0.01816924,0.00005349687],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06765045,0.0003865028,0.9163966,0.000308066,0.0001175664,0.0002152348,0.00009830616,0.0005605391,0.01426679],"genre_scores_gemma":[0.853377,0.0002834489,0.1418507,0.0001707735,0.00004381511,0.000154998,0.0001837979,0.00004857157,0.003886868],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003909985,"threshold_uncertainty_score":0.007791698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01003753016120072,"score_gpt":0.2545067192673259,"score_spread":0.2444691891061252,"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."}}