{"id":"W4213025674","doi":"10.3390/ijerph19042216","title":"Prevalence of Coronavirus Disease 2019 (COVID-19) in Different Clinical Stages before the National COVID-19 Vaccination Programme in Malaysia: A Systematic Review and Meta-Analysis","year":2022,"lang":"en","type":"review","venue":"International Journal of Environmental Research and Public Health","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universiti Malaysia Sabah","keywords":"Meta-analysis; Funnel plot; Medicine; Publication bias; Coronavirus disease 2019 (COVID-19); Vaccination; Inclusion and exclusion criteria; Pandemic; Disease; Internal medicine; Immunology; Pathology; Infectious disease (medical specialty); Alternative medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01094426,0.002249294,0.01413307,0.007514304,0.000683776,0.00324576,0.001640455,0.002005526,0.002205071],"category_scores_gemma":[0.0194676,0.001429793,0.04794728,0.007844076,0.0005797841,0.001623786,0.00140153,0.001542652,0.0002298288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002402909,"about_ca_system_score_gemma":0.004383169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008249277,"about_ca_topic_score_gemma":0.01765084,"domain_scores_codex":[0.9933079,0.002282031,0.00249498,0.0008080608,0.0008068102,0.0003001555],"domain_scores_gemma":[0.98912,0.007320748,0.001880158,0.0003926558,0.001080195,0.0002062663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.001915785,0.00003966538,0.01146601,0.3711745,0.5999878,0.0002168066,0.000127064,0.0006559358,0.0003533265,0.0001392583,0.0007077242,0.01321612],"study_design_scores_gemma":[0.0002225661,0.0001903001,0.007095935,0.02564845,0.9647822,0.0001493775,0.00005924879,0.0001700042,0.0001369336,0.0001239423,0.001393411,0.00002765294],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.008355465,0.9897322,0.0003805561,0.0002181232,0.0001223935,0.0001869127,0.0007756573,0.00001726239,0.0002114586],"genre_scores_gemma":[0.1771454,0.8175005,0.001979581,0.0007474108,0.0002278446,0.0008128529,0.00125381,0.00002678938,0.000305873],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01413307,"threshold_uncertainty_score":0.05787951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5134292213223197,"score_gpt":0.607720353365292,"score_spread":0.09429113204297224,"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."}}