{"id":"W3033176029","doi":"10.1002/jia2.25557","title":"Know your epidemic, know your response: understanding and responding to the heterogeneity of the COVID‐19 epidemics across Southeast Asia","year":2020,"lang":"en","type":"article","venue":"Journal of the International AIDS Society","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Medicine; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Pandemic; Virology; Southeast asia; Outbreak; Infectious disease (medical specialty); Ethnology; Pathology; Disease; History","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01877044,0.001202133,0.002068343,0.002049902,0.006918514,0.01505681,0.003303518,0.01121846,0.007581535],"category_scores_gemma":[0.05141757,0.001007485,0.001009306,0.001176111,0.007443203,0.01924704,0.01002364,0.02754022,0.003468081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004848151,"about_ca_system_score_gemma":0.02203752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01276249,"about_ca_topic_score_gemma":0.01717556,"domain_scores_codex":[0.9859708,0.007283155,0.0008417179,0.001095282,0.002405747,0.00240329],"domain_scores_gemma":[0.9718473,0.01047092,0.002924553,0.000772875,0.004329451,0.009654883],"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":[0.0001776525,0.0006610614,0.03524497,0.004831858,0.0003392205,0.001920977,0.07779245,0.001120776,0.001211544,0.0158408,0.4219874,0.4388713],"study_design_scores_gemma":[0.0001431573,0.0008676508,0.03608362,0.02048249,0.0004150491,0.002255745,0.1796558,0.002573806,0.001025351,0.1085358,0.6474611,0.0005003944],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01309654,0.03800385,0.005623743,0.9234996,0.007907431,0.000207877,0.0003503057,0.0003956963,0.01091495],"genre_scores_gemma":[0.2466923,0.1241773,0.0236813,0.5806443,0.01671121,0.000714828,0.0007884187,0.000411579,0.006178733],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01877044,"threshold_uncertainty_score":0.09926879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3815194875126405,"score_gpt":0.4617532710884427,"score_spread":0.08023378357580219,"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."}}