{"id":"W3167437416","doi":"10.2196/20713","title":"Blockchain Applications in Health Care and Public Health: Increased Transparency","year":2021,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research Institute for Aging; University Health Network; University of Toronto; University of Waterloo","funders":"Mitacs","keywords":"Interoperability; Blockchain; Transparency (behavior); Data sharing; Health care; Business; Smart contract; Big data; Computer science; Supply chain; Computer security; Internet privacy; Data science; World Wide Web; Marketing; Medicine; Data mining","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0005899143,0.0001284675,0.0002773598,0.0001767367,0.000221966,0.00006146222,0.0006343653,0.0001949673,0.00001989771],"category_scores_gemma":[0.00006172387,0.000122546,0.00003412157,0.001051699,0.0001418229,0.0001191576,0.000213771,0.0004633906,0.000007910924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001039842,"about_ca_system_score_gemma":0.001282276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009587592,"about_ca_topic_score_gemma":0.0004208549,"domain_scores_codex":[0.9980963,0.00008985124,0.0007950776,0.0001975629,0.0003973353,0.0004238788],"domain_scores_gemma":[0.9985035,0.0001089492,0.0001741968,0.0006267463,0.00009089187,0.0004956886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[7.817019e-7,0.0003909027,0.002422623,0.0007517397,0.00001289289,0.00000581511,0.04194557,0.00000260103,0.000001251113,0.458924,0.001015615,0.4945263],"study_design_scores_gemma":[0.004610396,0.000558673,0.01188775,0.0005468373,0.00000663274,0.0003770497,0.05632077,0.2363082,0.0001545847,0.02403972,0.6638964,0.001293017],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1035113,0.005377011,0.813263,0.07448503,0.00006928754,0.00135515,0.00003456417,0.0006097144,0.001294972],"genre_scores_gemma":[0.9368333,0.0006422384,0.05439803,0.007454076,0.00002569645,0.000552383,0.00007811654,0.000007627319,0.000008561098],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.833322,"threshold_uncertainty_score":0.499728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01655328073803256,"score_gpt":0.2890388884128781,"score_spread":0.2724856076748455,"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."}}