{"id":"W3046036197","doi":"10.2196/20355","title":"Novel Approach to Support Rapid Data Collection, Management, and Visualization During the COVID-19 Outbreak Response in the World Health Organization African Region: Development of a Data Summarization and Visualization Tool","year":2020,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"World Health Organization","keywords":"Data collection; Software deployment; Automatic summarization; Data management; Interim; Data science; Computer science; Public health; Data visualization; Data sharing; Visualization; Data mining; Medicine; Geography; Information retrieval; Nursing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01817751,0.001562327,0.0008924259,0.0059637,0.001226713,0.00609445,0.002986238,0.001491255,0.005969806],"category_scores_gemma":[0.03768387,0.0009003986,0.001858563,0.003094095,0.0007555579,0.006321651,0.005135373,0.002178284,0.002464047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001156739,"about_ca_system_score_gemma":0.004091861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00413645,"about_ca_topic_score_gemma":0.004602157,"domain_scores_codex":[0.9914818,0.003919393,0.001258813,0.001133925,0.001825208,0.0003809803],"domain_scores_gemma":[0.9717951,0.01390628,0.002328399,0.004071063,0.006557486,0.001341612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009782074,0.0005102197,0.0203981,0.004837558,0.0004014285,0.001588192,0.01217149,0.01081451,0.02507142,0.02130655,0.08483849,0.8170838],"study_design_scores_gemma":[0.0006025463,0.001379262,0.02874534,0.004103449,0.0007004056,0.002403419,0.01065471,0.1999477,0.05833089,0.04688129,0.6454182,0.000832867],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01947996,0.001473397,0.8975827,0.006452334,0.0006279395,0.002527965,0.007243137,0.05433502,0.01027754],"genre_scores_gemma":[0.06530817,0.0007127255,0.9247828,0.0005843312,0.000125886,0.00113625,0.00435096,0.001128937,0.00186988],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01817751,"threshold_uncertainty_score":0.09613299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3624714254351917,"score_gpt":0.4407558602625311,"score_spread":0.07828443482733938,"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."}}