{"id":"W6978147214","doi":"10.6084/m9.figshare.c.6661354.v1","title":"Spatio-temporal dynamic of the COVID-19 epidemic and the impact of imported cases in Rwanda","year":2023,"lang":"en","type":"other","venue":"Figshare","topic":"University-Industry-Government Innovation Models","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Outbreak; Public health; Preparedness; Enforcement; Pandemic; Coronavirus disease 2019 (COVID-19); Public health surveillance; China; Disease control","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006839546,0.0002098961,0.000155955,0.0007696816,0.0002577392,0.001203678,0.0002772197,0.0002903133,0.003672387],"category_scores_gemma":[0.003716585,0.0001164271,0.0003237218,0.0007195577,0.0003008386,0.000651249,0.0007001557,0.0004155615,0.0002808151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001097714,"about_ca_system_score_gemma":0.0006296766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03382374,"about_ca_topic_score_gemma":0.02340728,"domain_scores_codex":[0.9996483,0.0001875651,0.0000131573,0.00004537262,0.0000254281,0.0000801807],"domain_scores_gemma":[0.9986291,0.0006708715,0.0004352486,0.00006534382,0.0001262111,0.0000733058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003795963,0.0003485538,0.7796016,0.0002170145,0.000201897,0.002886601,0.001194179,0.1355452,0.001655087,0.02202673,0.008914441,0.04702908],"study_design_scores_gemma":[0.00003974279,0.0002757814,0.437588,0.0003306942,0.0001716667,0.001171736,0.005034839,0.5352933,0.0009658532,0.01073708,0.008322948,0.00006831197],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893383,0.0003804928,0.001911574,0.001147218,0.00002540748,0.00001704376,0.0007457592,0.00003699976,0.006397179],"genre_scores_gemma":[0.9989103,0.0001571749,0.0002439237,0.00001202766,0.000006174303,0.000003988163,0.0001211789,0.000002226973,0.0005429602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03382374,"threshold_uncertainty_score":0.06725371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05540884406298605,"score_gpt":0.2864708915680837,"score_spread":0.2310620475050977,"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."}}