{"id":"W3127018667","doi":"10.1038/s41592-021-01079-6","title":"Author Correction: The SEIRS model for infectious disease dynamics","year":2021,"lang":"en","type":"article","venue":"Nature Methods","topic":"Zoonotic diseases and public health","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre","funders":"","keywords":"Dynamics (music); Infectious disease (medical specialty); Computer science; Computational biology; Biology; Disease; Physics; Medicine; Internal medicine","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":[0.006827631,0.002009118,0.001829232,0.003472791,0.001767678,0.003139291,0.004785538,0.004271726,0.1515199],"category_scores_gemma":[0.111932,0.0008608535,0.002533435,0.003107874,0.001608851,0.00359665,0.002668893,0.006530714,0.04832464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003273613,"about_ca_system_score_gemma":0.006633168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01031586,"about_ca_topic_score_gemma":0.0103924,"domain_scores_codex":[0.9943283,0.001603302,0.0007784193,0.001078447,0.001830754,0.0003808443],"domain_scores_gemma":[0.9476796,0.01415332,0.001829967,0.006107619,0.028137,0.002092545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003857248,0.000006509324,0.0001898892,0.000204391,0.00004362947,0.0001510653,0.00004001776,0.0005839939,0.00007533408,0.008111264,0.9830686,0.007486797],"study_design_scores_gemma":[0.0001453918,0.00003145029,0.001035226,0.0004674707,0.0001442531,0.0009657095,0.0001153399,0.008390654,0.0008522965,0.03895353,0.948798,0.0001005765],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0006809956,0.00132,0.02173026,0.05689922,0.9048297,0.00005889546,0.006658386,0.00165736,0.006165193],"genre_scores_gemma":[0.1065728,0.007819318,0.05690777,0.05755831,0.3183963,0.0005913174,0.01337306,0.009015138,0.429766],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1515199,"threshold_uncertainty_score":0.5068845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03253087399186615,"score_gpt":0.4395765292678235,"score_spread":0.4070456552759573,"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."}}