{"id":"W3163287681","doi":"10.1109/tvt.2021.3074820","title":"PriParkRec: Privacy-Preserving Decentralized Parking Recommendation Service","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Applied Basic Research Fund of Qingdao; Deanship of Scientific Research, King Saud University; National Natural Science Foundation of China","keywords":"Computer security; Service (business); Anonymity; Computer science; Sharing economy; Internet privacy; Service provider; Reputation; Business; 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":[0.001369127,0.0005706928,0.0008390521,0.000755235,0.001089714,0.001152719,0.002383851,0.001529012,0.005720643],"category_scores_gemma":[0.002924551,0.0003684128,0.0006426788,0.0007536336,0.0006415255,0.002562357,0.003548791,0.001485981,0.004050189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007214318,"about_ca_system_score_gemma":0.001812858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003041858,"about_ca_topic_score_gemma":0.00290068,"domain_scores_codex":[0.9982579,0.000274371,0.0001336642,0.0002884612,0.0007721372,0.0002735066],"domain_scores_gemma":[0.9977738,0.0002206232,0.0001793711,0.001042733,0.0005288198,0.0002545514],"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":[0.004422376,0.001136267,0.01183283,0.001063563,0.0003108788,0.004904516,0.001180761,0.033636,0.1093226,0.1035978,0.1750056,0.5535868],"study_design_scores_gemma":[0.000565179,0.000606252,0.004062087,0.0000718056,0.0001044679,0.003510945,0.0004118731,0.7173061,0.06621923,0.03990452,0.1668806,0.0003569305],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08728563,0.000987136,0.7677154,0.002250312,0.0005066191,0.001770505,0.003031571,0.09552754,0.04092528],"genre_scores_gemma":[0.8739502,0.0004455277,0.09859513,0.001024232,0.0001341199,0.0005114916,0.003558432,0.0005037078,0.02127722],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005720643,"threshold_uncertainty_score":0.01913744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01585425296912187,"score_gpt":0.2498330651254527,"score_spread":0.2339788121563308,"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."}}