{"id":"W2565011972","doi":"10.1089/gtmb.2016.0163","title":"Association Between <i>TNF-α</i> -308G/A Polymorphism and Risk of Immune Thrombocytopenia: A Meta-Analysis","year":2016,"lang":"en","type":"review","venue":"Genetic Testing and Molecular Biomarkers","topic":"Platelet Disorders and Treatments","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Meta-analysis; Medicine; Confidence interval; Immune thrombocytopenia; Allele; Internal medicine; Population; Polymorphism (computer science); Immune system; Genetic association; Tumor necrosis factor alpha; Immunology; Single-nucleotide polymorphism; Genotype; Antibody; Genetics; Biology; Gene; Environmental health","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":[0.01107055,0.003029684,0.01347523,0.005527147,0.0007942739,0.003338764,0.001977859,0.002305348,0.002949582],"category_scores_gemma":[0.01730108,0.001478385,0.05284645,0.007243814,0.0005469259,0.001129679,0.001201083,0.001928648,0.0003235083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001613101,"about_ca_system_score_gemma":0.001905541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005368393,"about_ca_topic_score_gemma":0.007542484,"domain_scores_codex":[0.9927471,0.003542142,0.001557604,0.001064448,0.0007677051,0.000320877],"domain_scores_gemma":[0.9883953,0.008131441,0.001756274,0.0005644694,0.0009155203,0.0002369658],"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":[0.003331678,0.00004279725,0.01689738,0.04227736,0.9310822,0.0002138096,0.00004391205,0.0009867222,0.0004572552,0.000068418,0.0003018375,0.004296711],"study_design_scores_gemma":[0.0003990886,0.0001726682,0.006011671,0.002128389,0.9901122,0.0001012869,0.00001922787,0.0004424627,0.00009579743,0.000100636,0.0004029555,0.00001355218],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.04366316,0.9510213,0.002423509,0.0005175647,0.0003978124,0.0003516901,0.001052018,0.00008956555,0.0004833937],"genre_scores_gemma":[0.6349528,0.3540248,0.005545476,0.001063506,0.0006344694,0.001145637,0.001786201,0.00007159658,0.0007754611],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01347523,"threshold_uncertainty_score":0.05854738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04667340361628606,"score_gpt":0.3045887227598609,"score_spread":0.2579153191435748,"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."}}