{"id":"W2396892013","doi":"10.1093/neuonc/nov209.22","title":"CBIO-22DICER AND miRNAs REGULATE GLIOMA STEM CELL CHARACTERISTICS","year":2015,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Western Hospital; Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Dicer; Biology; microRNA; Gene knockdown; Cancer research; SOX2; Stem cell; Glioma; Gene silencing; Stem cell marker; Drosha; Cell growth; Oncomir; BMI1; Cancer stem cell; Small hairpin RNA; RNA interference; Cell culture; Cell biology; Genetics; RNA; Transcription factor; 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":[0.000160815,0.0002839456,0.0003121131,0.0004101199,0.0001896592,0.0003444082,0.0002469714,0.0003424157,0.002391235],"category_scores_gemma":[0.0001058161,0.0001583299,0.0002637639,0.0001707887,0.0002924683,0.0001952846,0.0002238473,0.0005281321,0.0006830586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004372627,"about_ca_system_score_gemma":0.0003357564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001199733,"about_ca_topic_score_gemma":0.0017438,"domain_scores_codex":[0.9997676,0.00001873691,0.00002216908,0.00006450589,0.0000670855,0.00005995158],"domain_scores_gemma":[0.9998775,0.00001193293,0.00003627821,0.00001586659,0.00001589285,0.00004268389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001005665,0.00001669749,0.0001562082,0.00002607879,0.000004545083,0.00004958512,0.00001143423,0.000036918,0.9981761,0.0001344107,0.00007649208,0.00121092],"study_design_scores_gemma":[0.00002720222,0.0002138296,0.0100494,0.000006257661,0.00001913979,0.0003431133,0.00003172252,0.0006067722,0.9813812,0.00008903218,0.007223384,0.000008767639],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9797695,0.006835706,0.004134407,0.0003323419,0.00008383112,0.000059191,0.001279653,0.0002624443,0.007242996],"genre_scores_gemma":[0.9864699,0.001421412,0.002145699,0.0002172015,0.00001530857,0.00006070246,0.001679062,0.00005548606,0.007935266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002391235,"threshold_uncertainty_score":0.007999539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01783623406905588,"score_gpt":0.2614324790550051,"score_spread":0.2435962449859492,"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."}}