{"id":"W4402079547","doi":"10.1145/3690768","title":"Secure Collaborative Learning for Self-Adaptive Systems on Connected Autonomous Vehicles","year":2024,"lang":"en","type":"article","venue":"ACM Transactions on Autonomous and Adaptive Systems","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Natural Science Foundation of China","keywords":"Computer science; Autonomous system (mathematics); Distributed computing; Computer network; Computer security; Human–computer interaction; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001048789,0.0004583601,0.0005789276,0.0003233804,0.000705651,0.0007506176,0.0009813289,0.0006686479,0.001326625],"category_scores_gemma":[0.002943792,0.0002276128,0.0004429327,0.0002283425,0.0007571847,0.001594347,0.002082139,0.000979493,0.0003173054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007259778,"about_ca_system_score_gemma":0.0008055296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002209385,"about_ca_topic_score_gemma":0.001664259,"domain_scores_codex":[0.9991165,0.0001964095,0.00005080233,0.0002135238,0.0002689671,0.0001537346],"domain_scores_gemma":[0.9985344,0.0005849171,0.0001608653,0.0002989465,0.0002959406,0.0001249856],"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":[0.0003570857,0.0001648349,0.003246484,0.00006759549,0.00006203561,0.000239394,0.0003298765,0.8405228,0.01745038,0.01802262,0.001418641,0.1181183],"study_design_scores_gemma":[0.000006050153,0.00004050282,0.0001291844,0.00000161937,0.000003538253,0.00001327286,0.0000152871,0.9951658,0.001889367,0.002335578,0.0003968476,0.000002939369],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1069044,0.0001181813,0.8896754,0.0002418665,0.00003940733,0.00007007297,0.00001714307,0.001154975,0.001778473],"genre_scores_gemma":[0.9701726,0.00005202664,0.02843246,0.00007082996,0.00001625786,0.00005513513,0.00002787701,0.000025999,0.001146735],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002209385,"threshold_uncertainty_score":0.00554657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01162883790480712,"score_gpt":0.2178392025045372,"score_spread":0.2062103645997301,"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."}}