{"id":"W4224212967","doi":"10.2196/34284","title":"The Korean 3T Practice: New Biosurveillance Model Utilizing New Information Technology and Digital Tools","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Contact tracing; Data science; Pandemic; Computer science; Computer security; Medicine; Coronavirus disease 2019 (COVID-19); Disease","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":["sts","scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.001591746,0.0001468284,0.0001444585,0.0006278019,0.001359766,0.002747881,0.001432356,0.00005362344,0.000003467586],"category_scores_gemma":[0.001435586,0.0001188839,0.00004282685,0.002164203,0.000140017,0.0138357,0.002951629,0.0008934375,0.00005561753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003764971,"about_ca_system_score_gemma":0.001015202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004687452,"about_ca_topic_score_gemma":0.00001039388,"domain_scores_codex":[0.997464,0.000141292,0.0003720851,0.0002553871,0.001125544,0.0006416835],"domain_scores_gemma":[0.9971672,0.00157681,0.0001650034,0.0006197746,0.0002909865,0.0001802066],"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":[0.00006529868,0.00003281105,0.0001151705,0.00002569047,0.00002122901,0.000005698733,0.01090119,0.0004277135,0.0000451756,0.36946,0.007535325,0.6113647],"study_design_scores_gemma":[0.0013048,0.0009640928,0.0009710527,0.0000536791,0.000002359428,0.0001798674,0.01268796,0.4601848,0.0004252005,0.1240031,0.398721,0.000502026],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04301893,0.0008709399,0.7957829,0.08873472,0.0003314356,0.002475709,0.00009268264,0.0008788034,0.06781387],"genre_scores_gemma":[0.9974911,0.00003587445,0.001525428,0.000319744,0.00002354458,0.0000937389,0.00001027321,0.000008777811,0.0004915838],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9544721,"threshold_uncertainty_score":0.9999573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07144016739432311,"score_gpt":0.3875102685546691,"score_spread":0.316070101160346,"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."}}