{"id":"W3121615946","doi":"10.1109/globecom42002.2020.9322221","title":"Data Pricing for Blockchain-based Car Sharing: A Stackelberg Game Approach","year":2020,"lang":"en","type":"article","venue":"","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Novelis (Canada)","funders":"Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Stackelberg competition; Computer science; Data sharing; Service provider; Game theory; Popularity; Data modeling; Raw data; Service (business); Operations research; Microeconomics; Database; Business","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":[],"consensus_categories":[],"category_scores_codex":[0.0002889108,0.0001404767,0.0001830366,0.0000620498,0.0001339727,0.00007430365,0.003537883,0.0001139189,0.000006821848],"category_scores_gemma":[0.0000836398,0.000129386,0.00004553449,0.0005477814,0.00005255964,0.00003746758,0.00105352,0.0001733241,0.00001223894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001854212,"about_ca_system_score_gemma":0.00007520389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002311372,"about_ca_topic_score_gemma":0.000008028134,"domain_scores_codex":[0.9984037,0.0000130434,0.0002224525,0.0009203163,0.0001411801,0.0002992735],"domain_scores_gemma":[0.9977956,0.00008429882,0.00007358712,0.001858338,0.00006793449,0.0001202654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000119095,0.0003372948,0.0005833938,0.0001438847,0.00005703826,0.000003588874,0.0009601237,0.003553358,0.001033121,0.9675439,0.006595055,0.01917733],"study_design_scores_gemma":[0.000359066,0.00004389062,0.00002758223,0.000002553148,0.000007840387,0.000001984173,0.00005709787,0.9754681,0.001325646,0.002886082,0.01965629,0.0001638711],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02086687,0.0000667061,0.9657072,0.01131756,0.00002531393,0.0005557631,0.00003529532,0.0007641782,0.000661138],"genre_scores_gemma":[0.7309704,5.473138e-7,0.2668585,0.001934503,0.00004708492,0.0001043668,0.00002722302,0.00001011528,0.00004718203],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9719148,"threshold_uncertainty_score":0.6574326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07145801684868926,"score_gpt":0.2786071791582729,"score_spread":0.2071491623095836,"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."}}