{"id":"W4391128425","doi":"10.1109/tmc.2024.3357499","title":"CoralDB: A Collaborative Database for Data Sharing Based on Permissioned Blockchain","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Mobile Computing","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Key Research and Development Program of Hunan Province of China; Hunan Provincial Innovation Foundation for Postgraduate; National Natural Science Foundation of China","keywords":"Blockchain; Computer science; Data sharing; USable; Database; Distributed database; Database transaction; Leverage (statistics); Usability; Data access; Block (permutation group theory); Distributed computing; Computer security; World Wide Web; Operating system","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":[0.000734316,0.0002513003,0.0002308515,0.0003745277,0.000729677,0.0002638027,0.001949138,0.000143256,0.00001977085],"category_scores_gemma":[0.00001921109,0.0002434012,0.00008708674,0.001304899,0.00007678354,0.0001623027,0.00004331716,0.0004963688,0.00003285492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008945908,"about_ca_system_score_gemma":0.0001937747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001281475,"about_ca_topic_score_gemma":0.00001169552,"domain_scores_codex":[0.9976533,0.00005640769,0.0003468307,0.001338564,0.0002383981,0.0003664882],"domain_scores_gemma":[0.9967305,0.0007429302,0.00006973775,0.002228827,0.0001159544,0.0001120347],"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":[0.00008157608,0.001169926,0.000007127383,0.0002704822,0.0001319738,0.00005160062,0.001118562,0.3293542,0.003965772,0.03181491,0.003226551,0.6288074],"study_design_scores_gemma":[0.0003781949,0.0002275685,0.000001696217,0.0002136731,0.00002248128,0.000008422235,0.0000669648,0.9832262,0.008962088,0.0006463992,0.005993266,0.0002530425],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005614183,0.00015872,0.9896598,0.001210116,0.000649186,0.00105349,0.0003340306,0.00122245,0.00009796141],"genre_scores_gemma":[0.9042357,0.000009096552,0.0949321,0.0003263679,0.00006257612,0.0002955617,0.00004070292,0.00002920758,0.00006874213],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8986214,"threshold_uncertainty_score":0.9925613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0376172104951786,"score_gpt":0.317061174145097,"score_spread":0.2794439636499184,"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."}}