{"id":"W3174300149","doi":"10.1109/access.2021.3091327","title":"Data Trust Framework Using Blockchain Technology and Adaptive Transaction Validation","year":2021,"lang":"en","type":"article","venue":"IEEE Access","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Blockchain; Data quality; Data sharing; Database transaction; Reputation; Data integrity; Metadata; Transaction data; Computer security; Data modeling; Database; World Wide Web; 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":[0.000190506,0.0001089877,0.0001423348,0.0002268008,0.0002336804,0.0001475723,0.001399121,0.0002880809,0.000009278689],"category_scores_gemma":[0.00004360682,0.0001179214,0.00001592192,0.00147723,0.0001101931,0.0004083265,0.0004164234,0.0003133624,0.000003367954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002539497,"about_ca_system_score_gemma":0.00006958838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002337207,"about_ca_topic_score_gemma":0.00002100692,"domain_scores_codex":[0.9988732,0.00004206563,0.0001766838,0.0006078238,0.0001160116,0.0001841834],"domain_scores_gemma":[0.9983574,0.00006637044,0.00008694616,0.001343193,0.0001090003,0.00003714996],"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":[0.00001666909,0.0004197397,0.003158111,0.00005246972,0.0001509451,0.00008761568,0.0007275774,0.001450679,0.02285737,0.6779411,0.0003027373,0.2928349],"study_design_scores_gemma":[0.0002716663,0.00003004244,0.0007956579,0.00004499565,0.00003644338,0.000184615,0.0001129199,0.6113461,0.105175,0.2801142,0.0015751,0.0003132148],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2904352,0.0002523893,0.7066891,0.002111994,0.0001518787,0.00009479296,0.00001390362,0.0002092744,0.00004152295],"genre_scores_gemma":[0.9048156,0.0000410189,0.09492239,0.000140362,0.00004078524,0.0000176046,0.000004797312,0.000006937432,0.00001051661],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6143804,"threshold_uncertainty_score":0.4808696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06396920720731827,"score_gpt":0.3282948502245098,"score_spread":0.2643256430171915,"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."}}