{"id":"W4390345795","doi":"10.36922/ijps.357","title":"Use of migration and mobility data in COVID-19 response: Evidence from the East Africa Community region","year":2023,"lang":"en","type":"article","venue":"International Journal of Population Studies","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Foundation; International Development Research Centre; UK Research and Innovation; Styrelsen för Internationellt Utvecklingssamarbete","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Geography; Regional science; Political science; Economic growth; Medicine; Economics","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":[0.01855291,0.0004906509,0.0006179134,0.002895704,0.0007340019,0.002353003,0.001037666,0.000781002,0.002632107],"category_scores_gemma":[0.09842934,0.0003546217,0.001258748,0.004997016,0.00105871,0.003354518,0.001864686,0.001658371,0.0003866975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0012377,"about_ca_system_score_gemma":0.003767691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02341742,"about_ca_topic_score_gemma":0.023641,"domain_scores_codex":[0.9851174,0.01113468,0.001192682,0.0007049309,0.001376558,0.0004736976],"domain_scores_gemma":[0.9064577,0.07463197,0.008198938,0.002376022,0.007508451,0.0008269916],"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":[0.001137276,0.0003396038,0.4293275,0.02180938,0.001826507,0.0008983339,0.01986196,0.00219905,0.0001664817,0.01148194,0.01192535,0.4990267],"study_design_scores_gemma":[0.0001499141,0.001203788,0.618041,0.1041091,0.003876153,0.001737231,0.0696812,0.005627775,0.001138107,0.009620132,0.1844918,0.0003238139],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5668042,0.3512611,0.005637913,0.03485175,0.001240949,0.0004643785,0.007276458,0.0000470279,0.03241621],"genre_scores_gemma":[0.8177114,0.1746018,0.003113829,0.001732879,0.0003398132,0.0001571549,0.001549851,0.00003180879,0.0007614696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02341742,"threshold_uncertainty_score":0.09811836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.847118673076523,"score_gpt":0.5680205877218121,"score_spread":0.2790980853547109,"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."}}