{"id":"W3009794148","doi":"10.1101/2020.02.21.20026435","title":"Real-time monitoring the transmission potential of COVID-19 in Singapore, February 2020","year":2020,"lang":"en","type":"preprint","venue":"medRxiv","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada","funders":"National Science Foundation","keywords":"Coronavirus disease 2019 (COVID-19); Transmission (telecommunications); Social distance; Cluster (spacecraft); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Geography; Reproduction; Demography; Pandemic; Basic reproduction number; Distribution (mathematics); 2019-20 coronavirus outbreak; Outbreak; Medicine; Biology; Computer science; Ecology; Sociology; Mathematics; Population; Virology; Telecommunications","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":[0.00155202,0.0003695227,0.0002892234,0.000639654,0.0002176762,0.0007686169,0.0004362159,0.0003276702,0.000969237],"category_scores_gemma":[0.003374072,0.0001777738,0.0003097771,0.0007425669,0.0001987083,0.000460703,0.0007417179,0.0003307456,0.0005141018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000780347,"about_ca_system_score_gemma":0.0006499057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02888909,"about_ca_topic_score_gemma":0.02972993,"domain_scores_codex":[0.999377,0.0001907758,0.00008092474,0.0001334738,0.0001451498,0.00007284126],"domain_scores_gemma":[0.9980832,0.0002780563,0.0007142964,0.0001365841,0.0005733665,0.0002144739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001800212,0.00003549371,0.9836844,0.00009197838,0.00007847934,0.0003243799,0.0003289104,0.002791184,0.001309552,0.0001140802,0.00168984,0.009371555],"study_design_scores_gemma":[0.00001378543,0.0001526343,0.9789298,0.00006443524,0.000052601,0.00038879,0.0005683802,0.01583008,0.00118275,0.0001518915,0.002637997,0.00002691214],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870701,0.0002964178,0.001468586,0.0001989954,0.00001822076,0.00006054288,0.007952943,0.00009149927,0.002842732],"genre_scores_gemma":[0.9916371,0.0001818595,0.001168712,0.00005090343,0.00001199088,0.00005391076,0.006270223,0.000009486367,0.0006159122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02888909,"threshold_uncertainty_score":0.05744189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.183706675752896,"score_gpt":0.4068632028589433,"score_spread":0.2231565271060473,"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."}}