{"id":"W2782766517","doi":"","title":"The first workshop on blockchain & eHealth: towards provable privacy & security in data intensive health research","year":2017,"lang":"en","type":"article","venue":"Computer Science and Software Engineering","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"eHealth; Blockchain; Health care; Wearable computer; Computer science; Healthcare delivery; Knowledge management; Internet privacy; Data science; Information privacy; Business; Computer security","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":["sts","open_science"],"consensus_categories":[],"category_scores_codex":[0.007231021,0.0001609652,0.0002075764,0.0003067802,0.00326943,0.001036567,0.007413659,0.0000848872,2.272311e-7],"category_scores_gemma":[0.002856229,0.0001270903,0.00001703903,0.0009091754,0.0006955049,0.0004814184,0.005835957,0.0008082123,0.000004399963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001865525,"about_ca_system_score_gemma":0.0005178984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001735394,"about_ca_topic_score_gemma":0.000307704,"domain_scores_codex":[0.9972534,0.0000439711,0.0002750524,0.0009713954,0.0006106576,0.0008455862],"domain_scores_gemma":[0.99485,0.0005382154,0.0001066131,0.003893432,0.0004265681,0.0001851114],"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":[0.000007533515,0.0001218129,0.001992706,0.00009999936,0.00001098556,0.00002961191,0.005870041,0.001220199,0.000005943999,0.1027158,0.005705561,0.8822198],"study_design_scores_gemma":[0.0001940466,0.0000765904,0.01669142,0.0001912548,5.19687e-7,0.00001835771,0.0000487622,0.9553649,0.00005127334,0.003721247,0.02346024,0.0001813896],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1186138,0.001192016,0.7986949,0.07910603,0.0009166997,0.0009867747,0.000006196867,0.0004556554,0.00002788403],"genre_scores_gemma":[0.951056,0.0002564745,0.04788641,0.0006157621,0.0001036855,0.00006080961,0.000001043837,0.000009711392,0.00001007846],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9541447,"threshold_uncertainty_score":0.999564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07906675048345717,"score_gpt":0.3455651598797686,"score_spread":0.2664984093963114,"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."}}