{"id":"W4387255003","doi":"10.2139/ssrn.4583749","title":"Structural Econometric Estimation of the Basic Reproduction Number for COVID-19 Across U.S. States and Selected Countries","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trinity College","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Estimation; Econometrics; Reproduction; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Basic reproduction number; Econometric model; Statistics; Geography; Economics; Biology; Mathematics; Demography; Virology; Medicine; Sociology; Outbreak; Genetics; Population","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":[0.00651551,0.0004129609,0.001181783,0.001291388,0.000513646,0.001649349,0.001409284,0.00100476,0.008352863],"category_scores_gemma":[0.02879757,0.0004223887,0.001241314,0.002632729,0.0008405368,0.001403502,0.001517498,0.002317493,0.001025217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001040251,"about_ca_system_score_gemma":0.00135126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0363463,"about_ca_topic_score_gemma":0.02202892,"domain_scores_codex":[0.9972599,0.001678177,0.000128507,0.0004790548,0.0001472103,0.0003072301],"domain_scores_gemma":[0.9736958,0.01894205,0.003688039,0.001689739,0.001439942,0.000544588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004862572,0.0002457334,0.6644489,0.0003130062,0.001277729,0.0005754002,0.001060466,0.1871091,0.0004275985,0.07654968,0.02304252,0.04446361],"study_design_scores_gemma":[0.0002892964,0.0004102684,0.4342724,0.0003108325,0.0005764347,0.000254239,0.00269573,0.5027982,0.0006691573,0.04701842,0.01058345,0.0001214313],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9481731,0.001523486,0.0291191,0.002805832,0.0001117283,0.0001146691,0.01099319,0.0001585651,0.007000326],"genre_scores_gemma":[0.9870502,0.0003843958,0.003276832,0.00008417337,0.00005175317,0.00007569302,0.007313158,0.00002824565,0.001735455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0363463,"threshold_uncertainty_score":0.07226944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08759625671178543,"score_gpt":0.4065289525824625,"score_spread":0.3189326958706771,"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."}}