{"id":"W4312068945","doi":"10.1016/s2666-5247(22)00361-5","title":"Ecology of SARS-CoV-2 in the post-pandemic era","year":2022,"lang":"en","type":"letter","venue":"The Lancet Microbe","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Diabetes Canada; University of Toronto","funders":"","keywords":"Transmission (telecommunications); Pandemic; Outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Virology; Asymptomatic; Incidence (geometry); Coronavirus disease 2019 (COVID-19); Medicine; Biology; Veterinary medicine; Zoology; Disease; Infectious disease (medical specialty); 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":[0.0004549224,0.0002333936,0.0003714823,0.001266436,0.0004435037,0.000962136,0.0003310772,0.0004621624,0.003588293],"category_scores_gemma":[0.001055854,0.0001290151,0.0002520581,0.001140841,0.0002932833,0.0008011062,0.0006769949,0.0005300271,0.0009395633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005153362,"about_ca_system_score_gemma":0.0006696143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006242158,"about_ca_topic_score_gemma":0.005844994,"domain_scores_codex":[0.9994529,0.0001209527,0.00003484474,0.00007182398,0.00009163135,0.0002279109],"domain_scores_gemma":[0.9995047,0.00004486448,0.0001560151,0.00002114177,0.0001229179,0.0001504188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009104407,0.0002143864,0.8996258,0.000469639,0.0001229354,0.002941479,0.002256553,0.0002115957,0.006875763,0.001112038,0.00905315,0.07620628],"study_design_scores_gemma":[0.00001162451,0.0003516051,0.9782355,0.0002633137,0.000027603,0.00351145,0.002916121,0.0001639114,0.0002992352,0.0006045958,0.0135935,0.00002164207],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.9670631,0.0208369,0.0003998769,0.003150589,0.0001267926,0.00005174098,0.001553025,0.00002153946,0.006796378],"genre_scores_gemma":[0.9783292,0.01519175,0.000533151,0.001184079,0.0003255531,0.00003169307,0.002412303,0.00001757094,0.001974552],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.006242158,"threshold_uncertainty_score":0.01241165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07533367266236489,"score_gpt":0.3606043988401265,"score_spread":0.2852707261777616,"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."}}