{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002274578,0.0002279545,0.0002627782,0.0003995789,0.0004584804,0.00009065552,0.001369685,0.0005301225,0.00008148178],"category_scores_gemma":[0.00002210309,0.0002560523,0.0001060999,0.002399318,0.00007693345,0.0002309924,0.00006284981,0.0007618768,0.00006528388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001031541,"about_ca_system_score_gemma":0.000108291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002019809,"about_ca_topic_score_gemma":0.00009538031,"domain_scores_codex":[0.9981299,0.0001077713,0.000369865,0.0007691908,0.0001708901,0.0004523649],"domain_scores_gemma":[0.9978021,0.00007483339,0.0001241759,0.00164381,0.0002788296,0.00007623465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002521939,0.001475395,0.0002278503,0.00007546609,0.0002921214,0.0001035639,0.0006065314,0.005836677,0.07119551,0.08241346,0.000364077,0.8373842],"study_design_scores_gemma":[0.0009813913,0.00005692182,0.0001396912,0.0000548947,0.00004321464,0.0002352322,0.0001521123,0.2185431,0.6926404,0.0531936,0.03347869,0.0004807484],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.159117,0.0001302132,0.7980779,0.04058457,0.0002623644,0.000235213,0.000004332988,0.001484505,0.0001039231],"genre_scores_gemma":[0.9113178,0.0001527727,0.08717319,0.001065386,0.000008771665,0.0002331446,0.0000062307,0.00001781496,0.00002485839],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8369034,"threshold_uncertainty_score":0.9999892,"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."}}