{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004420754,0.0001711092,0.0005685689,0.0001164846,0.0002023607,0.000205181,0.0004359296,0.00004721031,0.00000289136],"category_scores_gemma":[0.001003919,0.0001148498,0.0000955475,0.0003722499,0.00008647236,0.0008913255,0.0002991327,0.0005892761,9.231987e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009454343,"about_ca_system_score_gemma":0.001737118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004265133,"about_ca_topic_score_gemma":0.003450692,"domain_scores_codex":[0.9970323,0.0006735248,0.000900669,0.0003492956,0.0007130326,0.0003311279],"domain_scores_gemma":[0.9966369,0.001398425,0.001295496,0.0003890415,0.00005154547,0.0002286125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003234606,0.001919659,0.2366132,0.001252877,0.000295298,0.01107943,0.1148908,0.004444786,0.0001595337,0.04868159,0.0004489765,0.5769792],"study_design_scores_gemma":[0.0087862,0.001828183,0.8733746,0.0009838075,0.00004171682,0.009955261,0.01100868,0.006948586,0.00002318251,0.07562602,0.01079436,0.0006294474],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9277543,0.01059736,0.001765601,0.05889915,0.000211039,0.0003965572,0.00003046404,0.00001540775,0.0003301551],"genre_scores_gemma":[0.9972492,0.0004506761,0.0001071889,0.002139871,0.00003459629,0.000007770153,4.998438e-7,0.000007397728,0.000002805434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6367613,"threshold_uncertainty_score":0.6447634,"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."}}