{"id":"W3121286955","doi":"10.1093/neuonc/noab010","title":"De-coding Group 3 medulloblastoma biology with noncoding RNA","year":2021,"lang":"en","type":"letter","venue":"Neuro-Oncology","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"","keywords":"Medulloblastoma; Long non-coding RNA; Non-coding RNA; Computational biology; Biology; Coding (social sciences); RNA; Genetics; Mathematics; Gene; Statistics","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":[0.001538631,0.0004906939,0.000540301,0.0002634145,0.00138551,0.001647707,0.0007306398,0.01410702,0.003304507],"category_scores_gemma":[0.004698976,0.0003014119,0.0006427345,0.0002192223,0.001938634,0.001275637,0.0007152082,0.01181327,0.001980757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002312784,"about_ca_system_score_gemma":0.000984443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001062332,"about_ca_topic_score_gemma":0.002268187,"domain_scores_codex":[0.9992622,0.0001722846,0.00006357156,0.0001079392,0.0002656592,0.0001284129],"domain_scores_gemma":[0.9977704,0.001553527,0.0001473705,0.0001219862,0.0001503377,0.0002564015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00036847,0.000114153,0.00195319,0.0001312813,0.00004912441,0.01139192,0.0001888244,0.0003554393,0.007252759,0.02899667,0.9031953,0.04600279],"study_design_scores_gemma":[0.0003352994,0.0002265163,0.001987051,0.0001114926,0.00007373718,0.009129943,0.0002195678,0.001933223,0.00755502,0.06323095,0.9151511,0.00004607358],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.004250203,0.006114115,0.001098013,0.9536439,0.02429795,0.00003524093,0.00008190512,0.00006509452,0.01041362],"genre_scores_gemma":[0.06999172,0.007871636,0.001691012,0.7955882,0.09467852,0.0001420994,0.00009290073,0.00006075688,0.02988309],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01410702,"threshold_uncertainty_score":0.0167805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01717568863750099,"score_gpt":0.2881248394257934,"score_spread":0.2709491507882924,"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."}}