{"id":"W3155114857","doi":"10.2196/26218","title":"And Justice for All? There Is More to the Interoperability of Contact Tracing Apps Than Legal Barriers. Comment on “COVID-19 Contact Tracing Apps: A Technologic Tower of Babel and the Gap for International Pandemic Control”","year":2021,"lang":"en","type":"letter","venue":"JMIR mhealth and uhealth","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Contact tracing; Coronavirus disease 2019 (COVID-19); Interoperability; Internet privacy; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Tower of Babel; Economic Justice; Tracing; Computer science; Computer security; Medicine; World Wide Web; Political science; Virology; Law; Geography; Infectious disease (medical specialty); Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002728463,0.0005470908,0.001239074,0.0002481915,0.000499812,0.0003067965,0.001059784,0.0004453299,0.000005705811],"category_scores_gemma":[0.001424454,0.0003407359,0.0002434845,0.0002161831,0.0002441517,0.0003273969,0.0003149729,0.001274835,2.084773e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004833798,"about_ca_system_score_gemma":0.001071607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000991679,"about_ca_topic_score_gemma":0.0003041383,"domain_scores_codex":[0.9959772,0.0003614812,0.00121896,0.00113269,0.0005443477,0.0007653848],"domain_scores_gemma":[0.9923931,0.005112987,0.0008649844,0.000875352,0.0003485359,0.000405031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0266059,0.001261384,0.01132556,0.1166453,0.003109654,0.0001639099,0.1388989,0.0003385934,0.0005326514,0.08258075,0.4710871,0.1474502],"study_design_scores_gemma":[0.04324165,0.01047311,0.006078234,0.007152988,0.001649539,0.0003363075,0.0176378,0.06189549,0.000266513,0.00659268,0.8420858,0.002589918],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04062628,0.002478625,0.07364129,0.8760812,0.0005926694,0.005622473,0.0008008131,0.00009020847,0.00006638486],"genre_scores_gemma":[0.5825687,0.0002506167,0.0003568757,0.4160219,0.000233758,0.0004925934,0.00002747056,0.00002373045,0.00002436228],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.5419424,"threshold_uncertainty_score":0.9999045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07906350509295759,"score_gpt":0.3788395437337378,"score_spread":0.2997760386407802,"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."}}