{"id":"W3077506331","doi":"10.2196/22321","title":"A QR Code–Based Contact Tracing Framework for Sustainable Containment of COVID-19: Evaluation of an Approach to Assist the Return to Normal Activity","year":2020,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Social Science Fund of China; Fujian University of Technology","keywords":"Credibility; Contact tracing; Public health; Traceability; Interoperability; Population; Computer science; Medicine; Computer security; Business; Medical emergency; Environmental health; Coronavirus disease 2019 (COVID-19); Nursing; Political science; World Wide Web","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":[],"consensus_categories":[],"category_scores_codex":[0.004007245,0.0002181911,0.0004904158,0.0001483341,0.000393765,0.0001365722,0.0005760776,0.0001051113,0.000002502448],"category_scores_gemma":[0.001780812,0.0001833413,0.0000818312,0.0007334437,0.00003495132,0.0005662461,0.0001411144,0.0002646513,4.638733e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007223774,"about_ca_system_score_gemma":0.004044736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000741326,"about_ca_topic_score_gemma":0.000130864,"domain_scores_codex":[0.996815,0.000474726,0.0005808376,0.0006529364,0.0008166261,0.0006599152],"domain_scores_gemma":[0.9962015,0.0009954678,0.0004291755,0.0005817471,0.0004323194,0.001359802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01351554,0.003672283,0.009987243,0.05493947,0.000166318,0.00001971431,0.1390528,0.0483905,0.001788438,0.5274678,0.001523728,0.1994761],"study_design_scores_gemma":[0.005012053,0.007624515,0.06692969,0.0002750934,0.0001484584,0.000006491182,0.006015736,0.9035665,0.002112461,0.005709727,0.001939459,0.000659748],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3292666,0.00006244645,0.6481201,0.0191312,0.00003981319,0.003139901,0.00003685484,0.000052895,0.0001501889],"genre_scores_gemma":[0.9655612,0.000001561692,0.01543943,0.01848309,0.00006807035,0.0004172556,0.000008598388,0.0000163753,0.000004500412],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8551761,"threshold_uncertainty_score":0.7476442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1286792142825579,"score_gpt":0.4179226753923007,"score_spread":0.2892434611097429,"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."}}