{"id":"W2804132492","doi":"10.7150/jca.23284","title":"<i>MLH1</i> Promoter Methylation and Prediction/Prognosis of Gastric Cancer: A Systematic Review and Meta and Bioinformatic Analysis","year":2018,"lang":"en","type":"review","venue":"Journal of Cancer","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China","keywords":"MLH1; Methylation; Meta-analysis; Oncology; Medicine; DNA methylation; Confidence interval; Odds ratio; Internal medicine; Cancer; Bioinformatics; Biology; Gene; Genetics; Colorectal cancer; Gene expression; DNA mismatch repair","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":[0.007762552,0.001608764,0.01032619,0.006790441,0.0005460948,0.001911477,0.00143929,0.001368815,0.002282731],"category_scores_gemma":[0.01552389,0.0008937743,0.02012205,0.009454054,0.0004986226,0.0009918053,0.0009987706,0.0008389213,0.0002087585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001641099,"about_ca_system_score_gemma":0.003830789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006102121,"about_ca_topic_score_gemma":0.01460435,"domain_scores_codex":[0.9948495,0.00176301,0.001642324,0.0007044309,0.0008082158,0.0002324567],"domain_scores_gemma":[0.9903558,0.006830681,0.001601589,0.0003409194,0.0007450607,0.0001258693],"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":[0.001073542,0.00002393318,0.02153684,0.5494727,0.4016769,0.0002826833,0.0001398522,0.0006798485,0.0008661412,0.000217399,0.001517686,0.02251258],"study_design_scores_gemma":[0.0002342063,0.0001557833,0.0178654,0.04215098,0.9350541,0.0002708885,0.00006752589,0.000331425,0.000281451,0.0002333967,0.003322848,0.00003197497],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.007914719,0.9892424,0.0005901773,0.0003390196,0.00009997916,0.000190439,0.001337791,0.00002136713,0.0002640924],"genre_scores_gemma":[0.1857279,0.8073629,0.002551021,0.0009770566,0.0003197814,0.0008959813,0.001814849,0.00002843233,0.0003221189],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01032619,"threshold_uncertainty_score":0.04105276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02813211753095418,"score_gpt":0.3355989599464299,"score_spread":0.3074668424154757,"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."}}