{"id":"W4224720957","doi":"10.29392/001c.33818","title":"COVID-19 and the fear of other unknowns: challenges and lessons learned from a digital contact tracing activity in the Rohingya camps in Cox’s Bazar, Bangladesh","year":2022,"lang":"en","type":"article","venue":"Journal of Global Health Reports","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Contact tracing; Coronavirus disease 2019 (COVID-19); Pandemic; Tracing; Government (linguistics); Medicine; Computer science; Infectious disease (medical specialty)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.021733,0.0009576985,0.0009388989,0.00128139,0.01601478,0.01336551,0.003072395,0.00451257,0.00935822],"category_scores_gemma":[0.03208514,0.0008397596,0.0007470204,0.001173962,0.009837698,0.01233247,0.009971789,0.00877942,0.002046926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007562199,"about_ca_system_score_gemma":0.0165079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02974865,"about_ca_topic_score_gemma":0.07277737,"domain_scores_codex":[0.9768581,0.01622912,0.0004956056,0.0009955203,0.002539122,0.002882565],"domain_scores_gemma":[0.9705036,0.02037904,0.001157364,0.0008566513,0.003029239,0.004074073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00006394276,0.0005131939,0.01119762,0.000766604,0.00001806286,0.003076977,0.9152612,0.0001748337,0.0006006823,0.004623108,0.01344977,0.05025392],"study_design_scores_gemma":[0.000009302127,0.0001314043,0.002029547,0.0006021625,0.000009262212,0.0003873804,0.961043,0.0001782116,0.0001798319,0.001443125,0.03394669,0.00004007487],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8188481,0.003887333,0.007483992,0.1047469,0.001082926,0.001181938,0.0003017277,0.0001597433,0.06230727],"genre_scores_gemma":[0.9486919,0.006559968,0.008087269,0.01506404,0.0001730739,0.0005506258,0.0001991543,0.0001788581,0.02049509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02974865,"threshold_uncertainty_score":0.1149365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07173759999992742,"score_gpt":0.3625676478942688,"score_spread":0.2908300478943414,"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."}}