{"id":"W2149699310","doi":"10.1111/cpr.12109","title":"MicroRNAs as oncogenes or tumour suppressors in oesophageal cancer: potential biomarkers and therapeutic targets","year":2014,"lang":"en","type":"review","venue":"Cell Proliferation","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"Northern College","funders":"Shenyang Pharmaceutical University; National Natural Science Foundation of China","keywords":"microRNA; Carcinogenesis; Biology; Suppressor; Cancer; Malignancy; Cancer research; Pathogenesis; Bioinformatics; Gene; Immunology; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002195882,0.0003965477,0.0005801664,0.0001464509,0.00008286475,0.00007497474,0.0001769914,0.000479063,0.00007796319],"category_scores_gemma":[0.0000269602,0.000329912,0.000169518,0.0001174786,0.00006426637,0.000006367212,0.00008539797,0.0001291914,0.00001860401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006697594,"about_ca_system_score_gemma":0.0004500228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002900301,"about_ca_topic_score_gemma":0.00005587676,"domain_scores_codex":[0.9981773,0.0003136137,0.0004890804,0.0006207144,0.0001241443,0.0002751737],"domain_scores_gemma":[0.99925,0.00001468155,0.0003077848,0.0002802844,0.00006358441,0.000083667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003709584,0.0002126215,0.0001311198,0.01499448,0.0003994973,0.00002905542,0.00008894818,0.0001230748,0.184562,0.000007451173,0.002155869,0.7969249],"study_design_scores_gemma":[0.001277351,0.000256447,0.0001203419,0.001418861,0.0007476105,0.0001001397,0.00001334492,0.0002421738,0.08344062,0.00003268418,0.9114758,0.0008745981],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.008757256,0.9895532,0.0001317196,0.00002074204,0.000262679,0.001152494,0.00005377929,0.00001379577,0.0000543905],"genre_scores_gemma":[0.04019811,0.9569442,0.00008561113,0.00006183488,0.0004306299,0.0002553664,0.001331929,0.00007626684,0.0006161057],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9093199,"threshold_uncertainty_score":0.9999153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01553817101680891,"score_gpt":0.3003443190183848,"score_spread":0.2848061480015758,"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."}}