{"id":"W2902348948","doi":"10.1111/cid.12694","title":"Use of IL‐1 β, IL‐6, TNF‐α, and MMP‐8 biomarkers to distinguish peri‐implant diseases: A systematic review and meta‐analysis","year":2018,"lang":"en","type":"review","venue":"Clinical Implant Dentistry and Related Research","topic":"Dental Implant Techniques and Outcomes","field":"Dentistry","cited_by":129,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Michigan","keywords":"Meta-analysis; Medicine; Mucositis; Strictly standardized mean difference; Internal medicine; Confidence interval; Peri-implantitis; Gastroenterology; Tumor necrosis factor alpha; Peri; Implant; Interleukin; Matrix metalloproteinase; Cytokine; Surgery; Toxicity","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.01541012,0.003111255,0.01882221,0.007974189,0.0008081718,0.003696086,0.00197388,0.002279926,0.00202258],"category_scores_gemma":[0.03632589,0.001629708,0.03269394,0.007457826,0.0008528421,0.001920769,0.001475699,0.001371699,0.0002581777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002200471,"about_ca_system_score_gemma":0.003732802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003868998,"about_ca_topic_score_gemma":0.009671609,"domain_scores_codex":[0.9891678,0.004013523,0.003961836,0.001162316,0.001402974,0.0002915644],"domain_scores_gemma":[0.9773644,0.0158909,0.004069848,0.0005272749,0.001944245,0.0002034057],"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":[0.00228415,0.00004787141,0.009487262,0.4873503,0.4837348,0.0001663359,0.0001120441,0.0003509778,0.0004315129,0.00008350689,0.000387817,0.01556349],"study_design_scores_gemma":[0.0004213791,0.0002814112,0.004959823,0.0315688,0.9610331,0.0001560977,0.00005535003,0.0001354014,0.0001743841,0.00009230351,0.001098657,0.00002328787],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004180601,0.9947369,0.0003141189,0.0001029941,0.00009091225,0.0002385603,0.0002073686,0.000009692552,0.0001188978],"genre_scores_gemma":[0.1243413,0.8705217,0.002202201,0.000632554,0.0002598374,0.001263119,0.0005257101,0.00001836629,0.0002352767],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01882221,"threshold_uncertainty_score":0.08149749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3304329734785687,"score_gpt":0.5277973778222277,"score_spread":0.197364404343659,"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."}}