{"id":"W3216174433","doi":"10.1038/s41564-021-00999-5","title":"The science of the host–virus network","year":2021,"lang":"en","type":"review","venue":"Nature Microbiology","topic":"Zoonotic diseases and public health","field":"Medicine","cited_by":107,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan; Université de Montréal; University of Toronto","funders":"Centers for Disease Control and Prevention; Wellcome Trust; National Institute of General Medical Sciences; Medical Research Council; Wellcome; U.S. Department of Health and Human Services; National Institutes of Health; National Science Foundation","keywords":"Human virome; Pandemic; Public health; Biology; Host (biology); Human health; Data science; Computational biology; Coronavirus disease 2019 (COVID-19); Risk analysis (engineering); Metagenomics; Computer science; Ecology; Infectious disease (medical specialty); Disease; Environmental health; Medicine; Genetics; Gene","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":[0.001720777,0.001444863,0.002599166,0.002564072,0.0004315928,0.002536786,0.00170722,0.002984086,0.006199888],"category_scores_gemma":[0.002244746,0.000450998,0.0006988188,0.00269118,0.001835891,0.004185391,0.001672259,0.004683425,0.002756926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002306575,"about_ca_system_score_gemma":0.002857126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002327095,"about_ca_topic_score_gemma":0.00371053,"domain_scores_codex":[0.9994416,0.0001753756,0.00005501844,0.00007871443,0.0001893603,0.00006002951],"domain_scores_gemma":[0.9983764,0.001048001,0.0001635195,0.00004563042,0.0002477751,0.0001186764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001016677,0.00005182973,0.0002178485,0.02072219,0.0001743055,0.0001982188,0.0000845728,0.0007102126,0.0009702434,0.03535683,0.09757232,0.8438398],"study_design_scores_gemma":[0.00001561891,0.00003754167,0.0003293339,0.004369773,0.00007279621,0.0003347207,0.00004688388,0.0001154999,0.00009295199,0.01154883,0.9830195,0.000016481],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001911944,0.9977217,0.0001075407,0.0009786338,0.0004699622,0.000002001827,0.00001152968,0.00000467248,0.0006848348],"genre_scores_gemma":[0.0003002047,0.9982028,0.0001000428,0.0005458787,0.0005348807,0.000003489403,0.00001577116,0.000001146104,0.0002957929],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006199888,"threshold_uncertainty_score":0.02074075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01943136780490956,"score_gpt":0.3562233140206708,"score_spread":0.3367919462157612,"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."}}