{"id":"W4402124607","doi":"10.1109/jiot.2024.3453336","title":"Federated Self-Supervised Learning Based on Prototypes Clustering Contrastive Learning for Internet of Vehicles Applications","year":2024,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"National Natural Science Foundation of China","keywords":"Computer science; Cluster analysis; The Internet; Artificial intelligence; Machine learning; World Wide Web","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":[0.001471449,0.0006043726,0.0008453925,0.0005845774,0.0005428011,0.0007617892,0.001896185,0.000990021,0.0007321144],"category_scores_gemma":[0.004134039,0.000340459,0.0005621039,0.000619018,0.0006924635,0.001626155,0.001387659,0.00134064,0.0002283137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008309254,"about_ca_system_score_gemma":0.001069357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004270053,"about_ca_topic_score_gemma":0.004041552,"domain_scores_codex":[0.9991866,0.0002253888,0.00004411656,0.000249701,0.0002023832,0.00009190831],"domain_scores_gemma":[0.9983937,0.000560927,0.0001467582,0.0003394567,0.0004814951,0.00007758645],"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":[0.0003507279,0.0003481619,0.003095125,0.0000826467,0.0001093467,0.0001351283,0.0001746054,0.6023421,0.006996391,0.00606635,0.003997874,0.3763015],"study_design_scores_gemma":[0.000004668872,0.00001926748,0.0001174066,0.000001489997,0.000003045961,0.000008805948,0.000007045558,0.9973963,0.001127527,0.001159172,0.0001519257,0.000003393435],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06822472,0.0002939634,0.9282013,0.0002296993,0.00005862158,0.00007008541,0.00006078729,0.001620069,0.001240843],"genre_scores_gemma":[0.8470593,0.0001037603,0.1503003,0.0001793727,0.00004561956,0.0001053114,0.0002368406,0.00009102433,0.001878405],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004270053,"threshold_uncertainty_score":0.008490384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0219054646006946,"score_gpt":0.2786531154909078,"score_spread":0.2567476508902132,"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."}}