{"id":"W2899532397","doi":"10.1002/bab.1707","title":"Circulating miR‐26a and miR‐21 as biomarkers for glioblastoma multiform","year":2018,"lang":"en","type":"article","venue":"Biotechnology and Applied Biochemistry","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Amgen (Canada); University of Toronto","funders":"Pasteur Institute of Iran; Tehran University of Medical Sciences and Health Services","keywords":"Downregulation and upregulation; microRNA; Glioblastoma; Cancer; U87; Pathology; Brain tumor; Medicine; Biology; Cancer research; Internal medicine; Gene","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006029716,0.0003596073,0.0003912969,0.0008103209,0.0002091583,0.0005920426,0.0001759641,0.0003542028,0.0007517934],"category_scores_gemma":[0.0009939764,0.0001897393,0.0001753383,0.0004400482,0.0002550006,0.0002886846,0.0002439231,0.0003431667,0.0002567623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002571045,"about_ca_system_score_gemma":0.0002998252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003527442,"about_ca_topic_score_gemma":0.0006905793,"domain_scores_codex":[0.9996961,0.0001106692,0.00003000424,0.00005312384,0.00008103277,0.00002899976],"domain_scores_gemma":[0.9996263,0.00008271897,0.0001493868,0.00001627471,0.0000663797,0.00005889891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006574844,0.0005189707,0.4870277,0.0005760666,0.0002348031,0.0008984905,0.0003821289,0.00060468,0.3963239,0.0004429754,0.0009891802,0.1054262],"study_design_scores_gemma":[0.0001908131,0.005629897,0.7679593,0.0001384051,0.0005093199,0.005739579,0.0006480688,0.006961126,0.2002342,0.001453219,0.01045373,0.00008234569],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829748,0.01321075,0.00215005,0.000164355,0.00007460525,0.00004767155,0.0002118195,0.00004980157,0.001116006],"genre_scores_gemma":[0.9932485,0.001930799,0.003686605,0.00007392212,0.0000361972,0.00004080452,0.0001871556,0.000006401487,0.000789611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008103209,"threshold_uncertainty_score":0.003188848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005182758080790676,"score_gpt":0.2317155246957125,"score_spread":0.2265327666149218,"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."}}