{"id":"W4402159737","doi":"10.1109/icc51166.2024.10623010","title":"Quantum-Driven Context-Aware Federated Learning in Heterogeneous Vehicular Metaverse Ecosystem","year":2024,"lang":"en","type":"article","venue":"","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"National Science and Technology Council","keywords":"Computer science; Context (archaeology); Ecosystem; Human–computer interaction; Ecology; Geography","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":["open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.0004666601,0.0002284444,0.0002919092,0.0003240995,0.0001267282,0.0006775616,0.01026019,0.000180532,0.00006276838],"category_scores_gemma":[0.002178178,0.0002000999,0.00009267887,0.0008342424,0.000035394,0.0007140434,0.02602896,0.0005323737,0.0005767534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001899467,"about_ca_system_score_gemma":0.0001000308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001337744,"about_ca_topic_score_gemma":0.0004274103,"domain_scores_codex":[0.9978721,0.0001995903,0.0003664718,0.0008060096,0.0003030053,0.0004528723],"domain_scores_gemma":[0.9967003,0.0002171576,0.00005358615,0.002907322,0.00005384871,0.00006781383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007907494,0.0006262948,0.01431545,0.001844381,0.001846781,0.0352923,0.002077476,0.05808053,0.0155134,0.1297006,0.3555649,0.3850588],"study_design_scores_gemma":[0.0001684549,0.00005995847,0.00003853648,0.0001527933,0.000005979779,0.0001123488,0.00009914187,0.9747939,0.005382904,0.005141846,0.01379788,0.0002462682],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3825157,0.001432377,0.5923708,0.01193451,0.001198142,0.0005377562,0.00001966439,0.00922185,0.0007692079],"genre_scores_gemma":[0.9879494,0.00005166343,0.0116678,0.0001321282,0.00001807825,0.0000293142,0.00001295042,0.00002233552,0.0001163792],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9167134,"threshold_uncertainty_score":0.9950948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02859058646348647,"score_gpt":0.2637429660089973,"score_spread":0.2351523795455109,"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."}}