{"id":"W2110303120","doi":"10.1136/bmjopen-2015-008653","title":"Clinical value of lncRNA MALAT1 as a prognostic marker in human cancer: systematic review and meta-analysis","year":2015,"lang":"en","type":"review","venue":"BMJ Open","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":129,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto; Shanghai Municipal Health Bureau; National Natural Science Foundation of China","keywords":"Medicine; MALAT1; Meta-analysis; Cancer; Value (mathematics); Systematic review; MEDLINE; Oncology; Bioinformatics; Internal medicine; Intensive care medicine; Long non-coding RNA; Statistics; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.01594969,0.002445851,0.01491775,0.006426663,0.0006676427,0.002754712,0.002127634,0.001798331,0.002353441],"category_scores_gemma":[0.03856119,0.001143465,0.03234556,0.009991778,0.0007335588,0.001561966,0.001559924,0.001374978,0.0002250716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002339972,"about_ca_system_score_gemma":0.003742087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005775537,"about_ca_topic_score_gemma":0.01248364,"domain_scores_codex":[0.9876646,0.005702358,0.003571963,0.001445389,0.001274089,0.0003416213],"domain_scores_gemma":[0.9720173,0.02048426,0.004421344,0.001053259,0.001738601,0.0002851726],"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":[0.001318533,0.00001640064,0.01287912,0.2605718,0.7128969,0.0001453737,0.00008108782,0.0007152435,0.0002670197,0.0001131758,0.0007437351,0.01025163],"study_design_scores_gemma":[0.0002065314,0.0001224075,0.006699353,0.01373774,0.9772233,0.00009895347,0.0000340028,0.0002433922,0.0001345596,0.000162604,0.001317146,0.00001989123],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.005986437,0.9918936,0.0006079961,0.0002301993,0.0001209421,0.0001525295,0.0008238623,0.00002192102,0.000162498],"genre_scores_gemma":[0.2927533,0.6992294,0.003040349,0.001086046,0.0004115949,0.001274727,0.001815279,0.00004928709,0.000339989],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01594969,"threshold_uncertainty_score":0.084351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2521499781377868,"score_gpt":0.5549805321984324,"score_spread":0.3028305540606456,"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."}}