{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008660727,0.0002484758,0.002266223,0.0002689494,0.0000388408,0.00003344118,0.0001000578,0.000176915,0.00001631694],"category_scores_gemma":[0.0001181934,0.0001586354,0.0004162448,0.0003823659,0.00007128152,0.00001609024,0.00005979438,0.0001158338,1.105972e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002460324,"about_ca_system_score_gemma":0.0001503475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001678539,"about_ca_topic_score_gemma":0.00002430677,"domain_scores_codex":[0.9980307,0.0001893022,0.001265806,0.0001892622,0.0002116381,0.000113277],"domain_scores_gemma":[0.9971052,0.00004009934,0.002204288,0.0001867144,0.000368247,0.00009543012],"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":[0.00001083632,0.00002839667,0.0004282827,0.9290803,0.02541861,7.272335e-7,0.00006019424,0.00000627811,0.000123728,0.000001734456,0.0001764755,0.04466442],"study_design_scores_gemma":[0.0005295218,0.0008922142,0.0002058088,0.1112123,0.7927532,0.0000875957,0.0000184826,0.0001026793,0.0006890053,0.00003414762,0.09293725,0.0005377893],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005207198,0.9980972,0.000417553,0.00004151697,0.00005291987,0.0007244364,0.0001321122,0.000001401965,0.00001217358],"genre_scores_gemma":[0.0003746508,0.9988002,0.0004970218,0.0000380668,0.0001017977,0.0001017862,0.00002161196,0.00001666568,0.00004821515],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8178681,"threshold_uncertainty_score":0.6468966,"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."}}