{"id":"W4406259384","doi":"10.1109/jiot.2025.3528013","title":"A Reliable Federated Learning Server Rotation Algorithm in IoV","year":2025,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"National Natural Science Foundation of China","keywords":"Computer science; Distributed computing; Computer network; Algorithm; 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":[0.001401202,0.0007139763,0.001193618,0.0005059815,0.0006810754,0.000974801,0.001903771,0.001020776,0.001399936],"category_scores_gemma":[0.003791203,0.0003220166,0.0005265491,0.0006748899,0.0008311373,0.001377725,0.001660247,0.001203748,0.000418157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009350824,"about_ca_system_score_gemma":0.002040665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006700686,"about_ca_topic_score_gemma":0.004190283,"domain_scores_codex":[0.9991665,0.000217513,0.00004717226,0.0002067316,0.0001551292,0.0002070056],"domain_scores_gemma":[0.9988771,0.0004210188,0.0001423014,0.0001862661,0.0002725482,0.0001007934],"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":[0.0002279308,0.00009189505,0.001177194,0.00003388266,0.00003015277,0.00007119434,0.00008062354,0.8646057,0.001992595,0.007146863,0.001457592,0.1230844],"study_design_scores_gemma":[0.00001004936,0.00002258326,0.00005285496,0.000001839119,0.000003055093,0.00001087072,0.00000909337,0.9973015,0.0004155089,0.00198661,0.0001825632,0.000003514808],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02980506,0.0001885185,0.9673696,0.0002024124,0.00004340188,0.00005457022,0.00003352315,0.0008817021,0.001421256],"genre_scores_gemma":[0.848417,0.0001232508,0.148262,0.00018417,0.00003265967,0.000128617,0.0001681388,0.00007446535,0.002609666],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006700686,"threshold_uncertainty_score":0.01332337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02102302294019567,"score_gpt":0.2745398327800821,"score_spread":0.2535168098398864,"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."}}