{"id":"W4388415787","doi":"10.1002/jmv.29193","title":"Genomic epidemiology of the main SARS‐CoV‐2 variants in Italy between summer 2020 and winter 2021","year":2023,"lang":"en","type":"article","venue":"Journal of Medical Virology","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"European Regional Development Fund; Ministero dell'Università e della Ricerca; HORIZON EUROPE Framework Programme; Regione Campania; European Commission; Università degli Studi di Milano","keywords":"Virology; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Epidemiology; Biology; Sars virus; Molecular epidemiology; Pandemic; Betacoronavirus; Genetics; Medicine; Genotype; Outbreak; Gene; 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":[0.0004836171,0.0002846371,0.0002629992,0.0009495572,0.0001971696,0.0005664941,0.000221097,0.0002849707,0.001037784],"category_scores_gemma":[0.00076232,0.0001427039,0.0003737256,0.001213742,0.0002546427,0.0001772166,0.0003925706,0.00020737,0.0002933452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005385176,"about_ca_system_score_gemma":0.0003598687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01769203,"about_ca_topic_score_gemma":0.01682269,"domain_scores_codex":[0.9996319,0.00008768925,0.00001617198,0.0001331028,0.00004658829,0.0000844803],"domain_scores_gemma":[0.9995571,0.0000477963,0.0002323423,0.00004085105,0.0000590518,0.00006283574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004442755,0.00002095949,0.9904252,0.00003697723,0.0000580584,0.0001318505,0.0002675336,0.0006890718,0.001659063,0.00009232762,0.001529308,0.004645445],"study_design_scores_gemma":[0.000003359379,0.00002389842,0.9988484,0.0000102036,0.000008021621,0.00007824185,0.0001019928,0.0002344299,0.0000448665,0.00001751291,0.0006267935,0.000002194223],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948758,0.0003478549,0.00008918628,0.0001002367,0.000006325186,0.000007601132,0.003812161,0.00001070924,0.0007501577],"genre_scores_gemma":[0.9925959,0.0001454391,0.0001856667,0.00003296037,0.00001394975,0.00001549709,0.006756277,0.000005917037,0.0002484033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01769203,"threshold_uncertainty_score":0.03517812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09016135662440306,"score_gpt":0.4110719232239337,"score_spread":0.3209105665995306,"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."}}