{"id":"W3178464303","doi":"10.3390/vaccines9070735","title":"Understanding Soaring Coronavirus Cases and the Effect of Contagion Policies in the UK","year":2021,"lang":"en","type":"article","venue":"Vaccines","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council","keywords":"Coronavirus disease 2019 (COVID-19); Quarter (Canadian coin); Transmission (telecommunications); Transmission rate; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Vaccination; 2019-20 coronavirus outbreak; Demography; Virology; Demographic economics; Medicine; Economics; Computer science; History; Disease; Telecommunications; Sociology; Infectious disease (medical specialty)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001100407,0.00009589061,0.0003376966,0.0000213258,0.0001164596,0.00001712953,0.00009250399,0.00003156251,0.00001193081],"category_scores_gemma":[0.009359579,0.00004030552,0.00005732969,0.0001385732,0.00007433188,0.00002052296,0.000134405,0.00008720076,5.147454e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003694977,"about_ca_system_score_gemma":0.000006503067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001025556,"about_ca_topic_score_gemma":0.00225445,"domain_scores_codex":[0.9990306,0.0004292477,0.0002167735,0.0001116391,0.00008291216,0.0001287896],"domain_scores_gemma":[0.968715,0.03102161,0.00008187672,0.0001556919,0.00001594947,0.000009845521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002638907,0.00001946945,0.8314901,0.0002456153,0.0000688058,0.00003893579,0.002768924,0.00001788384,0.0002612841,0.1634747,0.0009421769,0.00040816],"study_design_scores_gemma":[0.006333999,0.0004475095,0.5834159,0.0003903161,0.0003126984,0.0001672236,0.01305665,0.0003758776,0.003643864,0.3909375,0.0005918258,0.0003265872],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939014,0.001700405,0.0002226226,0.003510501,0.00003922765,0.0002153606,0.000002145001,0.00001447723,0.0003938664],"genre_scores_gemma":[0.9992676,0.0002786954,0.00003712987,0.0003330869,0.00003622466,0.00001884788,4.361089e-7,0.000004435436,0.00002347713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2480742,"threshold_uncertainty_score":0.998985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4561972647341878,"score_gpt":0.4481143937739217,"score_spread":0.008082870960266109,"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."}}