{"id":"W2318066436","doi":"10.1111/jcpe.12538","title":"Host‐derived salivary biomarkers in diagnosing periodontal disease: systematic review and meta‐analysis","year":2016,"lang":"en","type":"review","venue":"Journal Of Clinical Periodontology","topic":"Oral microbiology and periodontitis research","field":"Dentistry","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Biomarker; Medicine; Meta-analysis; Periodontitis; Disease; Periodontal disease; Diagnostic biomarker; Biomarker discovery; Diagnostic accuracy; Internal medicine; Pathology; Oncology; Proteomics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","metaepi_broad","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006976858,0.0008668975,0.02403348,0.001084564,0.0001422004,0.0001303312,0.001217545,0.001243882,0.002699509],"category_scores_gemma":[0.006947145,0.0005098011,0.009172602,0.0008500995,0.001072632,0.0003183875,0.0004044416,0.001993032,0.0001776086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001474596,"about_ca_system_score_gemma":0.0008668096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004583724,"about_ca_topic_score_gemma":0.0006368483,"domain_scores_codex":[0.9811149,0.00926533,0.007540289,0.0009117781,0.0004270106,0.0007407347],"domain_scores_gemma":[0.9872948,0.006161993,0.004554168,0.0009411981,0.0003515851,0.0006962603],"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":[0.0001833864,0.0003005429,0.003453197,0.68957,0.2946752,0.005183585,0.00002485259,4.7354e-8,8.119739e-7,0.00002548676,0.001021692,0.005561253],"study_design_scores_gemma":[0.0008483096,0.0002829113,0.003487146,0.1084524,0.7838504,0.002644381,0.0000210357,6.40454e-7,7.247512e-8,0.00001314827,0.09968059,0.0007188813],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002874959,0.9960679,0.00002671766,0.0007668698,0.0007907528,0.001573124,0.0004002325,0.00001750835,0.00006937868],"genre_scores_gemma":[0.0003967268,0.9980912,0.0001512707,0.0004771029,0.0002219324,0.0001246799,0.00004274248,0.00006779966,0.0004265166],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5811176,"threshold_uncertainty_score":0.9997354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1561909964092554,"score_gpt":0.4819551840865638,"score_spread":0.3257641876773085,"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."}}