{"id":"W4366223233","doi":"10.37766/inplasy2023.4.0053","title":"Circulating MicroRNAs as Potential Diagnostic Biomarkers for Cervical Intraepithelial Neoplasia and early Cervical Cancer : A Systematic Review and Meta-Analysis","year":2023,"lang":"en","type":"review","venue":"","topic":"Endometrial and Cervical Cancer Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Cancer Research","funders":"Jiangsu Cancer Hospital; China International Medical Foundation; Government of Jiangsu Province","keywords":"Cervical intraepithelial neoplasia; Cervical cancer; Medicine; Meta-analysis; Malignancy; Inclusion and exclusion criteria; Oncology; Cancer; microRNA; Internal medicine; Squamous intraepithelial lesion; Gynecology; Pathology; Biology","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":[0.008253937,0.001982765,0.01178428,0.005741396,0.0005485459,0.002557877,0.001861975,0.001790075,0.004571086],"category_scores_gemma":[0.02594241,0.0009577633,0.01753349,0.006574011,0.000532283,0.001624821,0.001287984,0.001347847,0.0003644685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00224529,"about_ca_system_score_gemma":0.004320688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005258515,"about_ca_topic_score_gemma":0.01553801,"domain_scores_codex":[0.9947865,0.002269716,0.001508087,0.0005547107,0.0007033834,0.0001775901],"domain_scores_gemma":[0.9845776,0.01196372,0.001957738,0.000269548,0.001087409,0.0001439642],"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":[0.000806795,0.00002016178,0.003620932,0.7908093,0.1737964,0.0001136368,0.00008484637,0.0003092507,0.0002232909,0.0001959372,0.001374578,0.02864476],"study_design_scores_gemma":[0.0003708899,0.0002141459,0.006740784,0.1459784,0.8380949,0.0002521155,0.00009098335,0.0002161589,0.0002143169,0.0003645733,0.007423897,0.000038785],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008732051,0.9983694,0.0001305569,0.0001315078,0.00006620325,0.0000914663,0.0002108915,0.000005833554,0.0001209389],"genre_scores_gemma":[0.03277216,0.9647071,0.0008003454,0.0005624605,0.000160492,0.0004424387,0.0003772763,0.000008535243,0.000169209],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01178428,"threshold_uncertainty_score":0.04365146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08796008228403952,"score_gpt":0.3811709927369152,"score_spread":0.2932109104528757,"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."}}