{"id":"W4205733377","doi":"10.2139/ssrn.4003885","title":"Mitigation Policy for The  Covid-19 Pandemic: Intertemporal  Optimisationusing an Seir  Model","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trinity College","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Economics; Econometrics; Virology; Biology; Medicine; Outbreak; Infectious disease (medical specialty)","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":[0.002707297,0.002087514,0.002852088,0.001204875,0.0008887809,0.003209897,0.002154037,0.006778034,0.01222103],"category_scores_gemma":[0.007393223,0.001521496,0.001897177,0.001193211,0.001666862,0.00368546,0.002633409,0.003929951,0.0007678567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003166349,"about_ca_system_score_gemma":0.003193462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02016834,"about_ca_topic_score_gemma":0.01054573,"domain_scores_codex":[0.9986801,0.0007073199,0.00003855207,0.0002077127,0.00008940633,0.0002768648],"domain_scores_gemma":[0.9963341,0.002617874,0.0005416165,0.00008377164,0.0001874923,0.0002351222],"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":[0.0001059003,0.00007690467,0.0003694846,0.0001219005,0.00006231994,0.0001306941,0.00004904015,0.9200951,0.0003165607,0.07358013,0.002194777,0.002897043],"study_design_scores_gemma":[0.00004888532,0.00006541442,0.0002867166,0.00003180691,0.00003499705,0.00002740456,0.00006769388,0.9503394,0.00008105096,0.04789005,0.001097878,0.00002871858],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2174698,0.005001246,0.67443,0.02300955,0.0007414888,0.0003116879,0.002900367,0.0003820337,0.07575385],"genre_scores_gemma":[0.9022571,0.002698443,0.03641564,0.0008169325,0.0003325981,0.0003103161,0.0006232802,0.0001888833,0.05635684],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02016834,"threshold_uncertainty_score":0.04088342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3284156963399831,"score_gpt":0.4674043974817636,"score_spread":0.1389887011417805,"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."}}