{"id":"W4410967193","doi":"10.3390/jpm15060225","title":"Novel Biomarkers for SARS-CoV-2 Infection: A Systematic Review and Meta-Analysis","year":2025,"lang":"en","type":"review","venue":"Journal of Personalized Medicine","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Meta-analysis; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medicine; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; MEDLINE; Systematic review; Bioinformatics; Computational biology; Intensive care medicine; Virology; Biology; Pathology; Disease; Infectious disease (medical specialty); Outbreak","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.008527817,0.0007016172,0.02633964,0.0018304,0.0001119732,0.0000205118,0.0002937874,0.0002899732,0.0002265318],"category_scores_gemma":[0.1109961,0.0003455527,0.0093076,0.002459105,0.0004746371,0.0000732301,0.000124339,0.0008698061,0.000002912143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003884748,"about_ca_system_score_gemma":0.001429207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000530812,"about_ca_topic_score_gemma":0.00000938833,"domain_scores_codex":[0.9932818,0.000551274,0.003909075,0.0005275466,0.001345694,0.0003846321],"domain_scores_gemma":[0.9758825,0.01820819,0.003191947,0.000624439,0.001758772,0.0003342054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.00004960175,0.00007942877,4.861404e-7,0.6473034,0.3450447,0.00003479641,0.0000242967,2.262805e-8,0.000001716837,0.00002103278,0.005986747,0.001453766],"study_design_scores_gemma":[0.001070821,0.0004019758,4.85815e-7,0.1981872,0.5141158,0.0001133005,0.000007815423,0.000002747168,1.245001e-7,0.000008859031,0.2859768,0.0001140622],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[4.858587e-8,0.9751667,0.004474927,0.01517864,0.0001305755,0.004854351,0.00009248213,0.00001545708,0.00008681092],"genre_scores_gemma":[5.659096e-7,0.9884965,0.000924539,0.006843966,0.0002906052,0.0004804739,0.00003118566,0.00003790147,0.002894278],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.4491161,"threshold_uncertainty_score":0.9998996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3180998267973661,"score_gpt":0.5569854539401214,"score_spread":0.2388856271427554,"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."}}