{"id":"W1501683888","doi":"10.1002/9780470015902.a0023577","title":"Molecular Genetics of Medulloblastoma","year":2013,"lang":"en","type":"other","venue":"Encyclopedia of Life Sciences","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medulloblastoma; Biology; Molecular genetics; Cerebellum; Genomics; Genetics; Cancer; Gene; Cancer research; Neuroscience; Computational biology; Bioinformatics; Genome","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":[0.0001711754,0.0004214242,0.0002157749,0.001385609,0.0003752221,0.0006191384,0.0004396828,0.0006460404,0.001524595],"category_scores_gemma":[0.0003948844,0.0001924494,0.0003558533,0.0005037572,0.0005630066,0.0003120138,0.000411612,0.0005221763,0.0005004396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00155777,"about_ca_system_score_gemma":0.0007305326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007334482,"about_ca_topic_score_gemma":0.003770456,"domain_scores_codex":[0.9997856,0.00003691182,0.00002004569,0.00005548396,0.00006876636,0.00003323599],"domain_scores_gemma":[0.9997994,0.00003209024,0.00008444121,0.00001166507,0.00002991536,0.00004258022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006768012,0.0001662574,0.1063411,0.001623768,0.0005078193,0.08605607,0.0009418246,0.005988729,0.4719933,0.1516498,0.01945506,0.1545995],"study_design_scores_gemma":[0.0001961851,0.0003611222,0.2272633,0.0005068467,0.0005417758,0.2200502,0.0007211532,0.006811284,0.09937466,0.05349705,0.3905573,0.0001191086],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.764468,0.1015747,0.03061771,0.01502351,0.001595653,0.0002820882,0.004148113,0.00155011,0.08074018],"genre_scores_gemma":[0.9659911,0.02064624,0.006312373,0.0004766121,0.0002852444,0.00003387618,0.0007065292,0.00006064534,0.005487352],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.007334482,"threshold_uncertainty_score":0.01458359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01222631066546495,"score_gpt":0.2680387480773914,"score_spread":0.2558124374119264,"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."}}