{"id":"W2608156331","doi":"10.1016/s1473-3099(17)30238-4","title":"Global epidemiology of non-influenza RNA respiratory viruses: data gaps and a growing need for surveillance","year":2017,"lang":"en","type":"review","venue":"The Lancet Infectious Diseases","topic":"Respiratory viral infections research","field":"Medicine","cited_by":124,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University; Provincial Laboratory of Public Health; University of Alberta","funders":"Centers for Disease Control and Prevention","keywords":"Epidemiology; Virology; Respiratory system; Epidemiological surveillance; Environmental health; Coronavirus disease 2019 (COVID-19); Medicine; Internal medicine; Disease; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003026432,0.0005679891,0.004180932,0.0002377636,0.0004857961,0.00006044207,0.001189424,0.0003778488,0.00002078436],"category_scores_gemma":[0.0129018,0.0003725521,0.0005357256,0.0004010274,0.0008825189,0.0003218142,0.0008568639,0.0005214945,0.00002605862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002000232,"about_ca_system_score_gemma":0.001023386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002487532,"about_ca_topic_score_gemma":0.00007369187,"domain_scores_codex":[0.9957943,0.001106855,0.001178303,0.0008907281,0.0002865985,0.000743205],"domain_scores_gemma":[0.9913584,0.002962296,0.001121432,0.003985115,0.0002748774,0.0002978635],"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":[0.0003109715,0.0001964355,0.4099281,0.03413707,0.001330527,0.00002158808,0.000007214398,0.000004471147,0.000002456873,0.0004200201,0.01099331,0.5426478],"study_design_scores_gemma":[0.001624728,0.0005137517,0.01390056,0.004967196,0.001355858,0.00007037268,0.000006801905,0.00003968571,5.319052e-7,0.000347367,0.976834,0.0003391272],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001366394,0.9905013,0.0001903436,0.00004835472,0.0003542404,0.002815949,0.003418872,0.0001562402,0.001148337],"genre_scores_gemma":[0.001285444,0.9933029,0.00004935513,0.002430163,0.002009969,0.0006172309,0.0001849561,0.00009332197,0.00002664078],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9658407,"threshold_uncertainty_score":0.9998726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4085922974172159,"score_gpt":0.5337385711603652,"score_spread":0.1251462737431493,"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."}}