{"id":"W2949219685","doi":"10.1109/tnse.2019.2959230","title":"B-Ride: Ride Sharing With Privacy-Preservation, Trust and Fair Payment Atop Public Blockchain","year":2019,"lang":"en","type":"preprint","venue":"IEEE Transactions on Network Science and Engineering","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brandon University","funders":"Qatar National Research Fund; National Science Foundation","keywords":"Computer security; Payment; Sybil attack; Anonymity; Service (business); Pseudonym; Service provider; Proof-of-work system; Trusted third party; Computer science; Protocol (science); Blockchain; Smart contract; Internet privacy; Single point of failure; Business; Denial-of-service attack; Computer network; Law; Finance; The Internet","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":[0.0009279644,0.0003509,0.0003174996,0.0004277959,0.0006154948,0.0005524003,0.001668868,0.0002431492,0.000003245325],"category_scores_gemma":[0.00001513282,0.0003261374,0.00004512342,0.001397546,0.0002667088,0.0004237564,0.0001890658,0.0009128085,0.000003120353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001464506,"about_ca_system_score_gemma":0.0002502274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005189933,"about_ca_topic_score_gemma":0.00002589508,"domain_scores_codex":[0.9973498,0.00001312016,0.0003160185,0.001197293,0.0004891023,0.0006346896],"domain_scores_gemma":[0.9979928,0.00008348567,0.0001160184,0.001411776,0.000186185,0.0002097826],"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":[0.000004676609,0.00007174775,0.0008819609,0.0001315137,0.00006064374,0.000004937444,0.0005709459,0.9618507,0.0002345301,0.02034368,0.00008986243,0.01575478],"study_design_scores_gemma":[0.0002308051,0.00006577119,0.001550685,0.0001717285,0.00001877918,0.00002982684,0.00002505049,0.9937229,0.0006772054,0.001717637,0.001362164,0.0004274214],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2336875,0.0002298643,0.7629334,0.001851382,0.000394841,0.0004427591,0.000004288858,0.0003960612,0.00005985659],"genre_scores_gemma":[0.9745566,0.0002336456,0.0247158,0.0001288889,0.00006304881,0.0002212112,0.000001090323,0.00002122853,0.00005852075],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.740869,"threshold_uncertainty_score":0.9999191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01400400296085938,"score_gpt":0.212215179073737,"score_spread":0.1982111761128777,"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."}}