{"id":"W3087512938","doi":"10.1371/journal.pcbi.1008124","title":"Fast estimation of time-varying infectious disease transmission rates","year":2020,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Iterated function; Transmission (telecommunications); Computer science; Transmission rate; Estimation; Statistics; Infectious disease (medical specialty); Estimation theory; Epidemic model; Time series; Algorithm; Disease; Mathematics; Medicine; Population; Pathology; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.005278872,0.0006791775,0.001061945,0.001531839,0.0004321608,0.001130634,0.001853786,0.001301225,0.0009501518],"category_scores_gemma":[0.03193951,0.000896979,0.0009328595,0.0009072704,0.0006472446,0.001676633,0.001306044,0.001868992,0.0003451372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006118043,"about_ca_system_score_gemma":0.001500414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005396231,"about_ca_topic_score_gemma":0.003944371,"domain_scores_codex":[0.9985917,0.0007615552,0.00007045226,0.0001910004,0.0002958026,0.00008942238],"domain_scores_gemma":[0.9819523,0.01473709,0.0009307715,0.001221763,0.0009734231,0.000184687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000141802,0.0000522047,0.007252635,0.00009972726,0.000130909,0.0001244368,0.0002312807,0.9052112,0.0048444,0.02122778,0.0007271685,0.05995647],"study_design_scores_gemma":[0.00000776965,0.000007821446,0.0004715786,0.000005161876,0.000004246145,0.00002098574,0.00000901885,0.9937996,0.000850011,0.004637093,0.0001782246,0.000008446158],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03456904,0.00009099568,0.9644281,0.00009255311,0.00001215773,0.00002162131,0.00008555569,0.0003680675,0.0003319272],"genre_scores_gemma":[0.3805628,0.0002457547,0.6174402,0.00005703518,0.00003044117,0.0001753506,0.0005915391,0.0001461303,0.000750831],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005396231,"threshold_uncertainty_score":0.02791768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1470223211320939,"score_gpt":0.3896314696119518,"score_spread":0.2426091484798579,"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."}}