{"id":"W3128353186","doi":"10.3390/healthcare9020137","title":"A Systematic Review of Blockchain for Consent Management","year":2021,"lang":"en","type":"review","venue":"Healthcare","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Office of the Privacy Commissioner of Canada","keywords":"Blockchain; Identity management; Cryptocurrency; Immutability; Computer science; Data management; Data science; Big data; Field (mathematics); Process (computing); Computer security; Knowledge management; Internet privacy; Authentication (law); Data mining","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00094613,0.0002788887,0.00284731,0.0001796423,0.00009440297,0.00001552305,0.001255969,0.0002691975,0.000004385528],"category_scores_gemma":[0.0001768973,0.0002285108,0.0005950029,0.0007972896,0.00004045589,0.0000100431,0.0003668564,0.0002339715,0.000009715439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001095674,"about_ca_system_score_gemma":0.0005075479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008345432,"about_ca_topic_score_gemma":0.000007420994,"domain_scores_codex":[0.997245,0.0003283204,0.001346727,0.0005807969,0.000218494,0.0002807215],"domain_scores_gemma":[0.9963708,0.0003875275,0.0008783729,0.001993922,0.0002663795,0.0001029963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[3.710147e-8,0.00002092939,1.030913e-8,0.6564342,0.00008006296,0.000004466426,0.000009773253,5.703826e-9,5.52787e-10,0.2391462,0.0006889327,0.1036154],"study_design_scores_gemma":[0.00003257513,0.00001876912,6.354024e-9,0.6707119,0.0003763782,0.00004974294,0.00001099911,0.00003054487,1.268022e-7,0.0006653282,0.3279769,0.0001267256],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[5.522163e-9,0.9719645,0.01870625,0.001997399,0.0001155817,0.006970761,0.0000588988,0.0001172936,0.00006927799],"genre_scores_gemma":[3.609316e-7,0.9794698,0.01403839,0.0008005002,0.00001569063,0.00547881,0.00004429367,0.00001809242,0.0001340705],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.3272879,"threshold_uncertainty_score":0.9318401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06102024851173254,"score_gpt":0.3725269187794188,"score_spread":0.3115066702676862,"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."}}