{"id":"W2944778695","doi":"10.3390/bdcc3020025","title":"The Emerging Role of Blockchain Technology Applications in Routine Disease Surveillance Systems to Strengthen Global Health Security","year":2019,"lang":"en","type":"article","venue":"Big Data and Cognitive Computing","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Blockchain; Interoperability; Computer security; Health care; Disease surveillance; Business; Global health; Scope (computer science); Internet privacy; Computer science; Risk analysis (engineering); Public health; Medicine; Political science","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":[0.000783196,0.0001319848,0.0002349581,0.0001121522,0.0002691349,0.00005324701,0.001286067,0.00006060598,2.094614e-7],"category_scores_gemma":[0.0001137287,0.0001124569,0.00001620842,0.001158086,0.0001053694,0.00003818067,0.001789782,0.0001677781,0.000004030493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002953432,"about_ca_system_score_gemma":0.000109166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001634342,"about_ca_topic_score_gemma":0.0001993445,"domain_scores_codex":[0.9984794,0.000105549,0.0003572332,0.0005998883,0.0001373918,0.0003204837],"domain_scores_gemma":[0.9983109,0.0002741828,0.0001990331,0.000997299,0.0001259228,0.00009272512],"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":[0.000007669141,0.00008739266,0.1729537,0.00003713089,0.00001851319,7.065759e-7,0.0002779284,0.00005567596,0.000008894998,0.1701127,0.0000168166,0.6564229],"study_design_scores_gemma":[0.0006901845,0.00009362556,0.09203736,0.0002422079,0.000009042692,0.00001115792,0.004432315,0.8777897,0.0000325998,0.01958525,0.004722701,0.0003539136],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7460182,0.006109837,0.2435328,0.002578436,0.00009162129,0.001064954,0.0003587202,0.0001441212,0.0001013765],"genre_scores_gemma":[0.9992599,0.00005134253,0.0004954593,0.00007272737,0.00003119072,0.00004093847,0.00004169993,0.000004659673,0.00000207832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8777339,"threshold_uncertainty_score":0.4585858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01692064713088812,"score_gpt":0.2829589938951623,"score_spread":0.2660383467642742,"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."}}