{"id":"W4400601963","doi":"10.1016/j.eclinm.2024.102730","title":"Improving COVID-19 contact tracing and testing of exposed individuals in Cameroon using digital health technology: a cluster randomised trial","year":2024,"lang":"en","type":"article","venue":"EClinicalMedicine","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Foreign, Commonwealth and Development Office; Rockefeller Foundation","keywords":"Contact tracing; Medicine; Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Cluster (spacecraft); Digital health; Family medicine; Outbreak; Virology; Internal medicine; Health care; Economic growth","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003654429,0.0002990938,0.001012299,0.0009219517,0.0001101931,0.0002966281,0.0005252399,0.0001929646,0.000004088272],"category_scores_gemma":[0.02163698,0.0002603792,0.0001189994,0.001534305,0.0001811175,0.001035155,0.0004392265,0.0006565417,0.000002014782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003219062,"about_ca_system_score_gemma":0.00170231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002818475,"about_ca_topic_score_gemma":0.00004307227,"domain_scores_codex":[0.9961157,0.0001661761,0.001837387,0.0008786601,0.0004517527,0.000550315],"domain_scores_gemma":[0.9891077,0.009456481,0.0004823381,0.0005219673,0.00006319793,0.0003683687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.01542889,0.0008463918,0.07135054,0.006286276,0.0003486724,0.0009691251,0.01068843,0.0004917415,0.01198405,0.003535983,0.0002488399,0.8778211],"study_design_scores_gemma":[0.4896947,0.009087949,0.002384569,0.01034769,0.0001435101,0.0004108315,0.001496683,0.476583,0.0007645431,0.006880044,0.00081038,0.001396113],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8026466,0.001755118,0.1847702,0.00801901,0.0005959362,0.00165376,0.00001511544,0.0004355651,0.0001086532],"genre_scores_gemma":[0.9905647,0.00001374018,0.007205629,0.001970792,0.0001727859,0.00002747038,0.000004589369,0.00002761147,0.00001270494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.876425,"threshold_uncertainty_score":0.9999849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09606179450249475,"score_gpt":0.3824946132241691,"score_spread":0.2864328187216744,"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."}}