{"id":"W4362593589","doi":"10.1158/1538-7445.am2023-6028","title":"Abstract 6028: Cancer-selective metabolic vulnerabilities in MYC-amplified medulloblastoma","year":2023,"lang":"en","type":"article","venue":"Cancer Research","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; McMaster University","funders":"","keywords":"Medulloblastoma; Pyrimidine metabolism; Biology; Transcriptome; Cancer research; Metastasis; Context (archaeology); Disease; Cancer; Computational biology; Bioinformatics; Gene; Medicine; Pathology; Genetics; Gene expression","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":[0.00006555347,0.0003041623,0.0002132191,0.0003555835,0.0001531426,0.0002469516,0.0001642379,0.0002455787,0.001130068],"category_scores_gemma":[0.00007996171,0.0001001006,0.0002745497,0.000323967,0.000189803,0.0001126773,0.0002112089,0.00029396,0.0002263465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004254283,"about_ca_system_score_gemma":0.000253509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002018963,"about_ca_topic_score_gemma":0.003314815,"domain_scores_codex":[0.9999406,0.000003506941,0.000003917278,0.0000169105,0.00002201487,0.000012953],"domain_scores_gemma":[0.9999535,0.000004170682,0.00002045377,0.000004462357,0.000004772749,0.00001255531],"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":[0.0002232756,0.00001879053,0.00310847,0.00005022242,0.00001674738,0.0001858268,0.00001143352,0.0001040115,0.9943559,0.00007060282,0.000088188,0.001766611],"study_design_scores_gemma":[0.00003129241,0.000500206,0.1769082,0.00002899439,0.0001340074,0.002769658,0.0001096268,0.002338736,0.8104166,0.0005141149,0.006229423,0.00001923315],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939156,0.001179056,0.001508866,0.0001092571,0.00001069476,0.0000247725,0.002555034,0.00009401958,0.0006027858],"genre_scores_gemma":[0.9933926,0.00108328,0.001781768,0.0001060858,0.000004894729,0.00002294178,0.002460192,0.00003278848,0.001115354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002018963,"threshold_uncertainty_score":0.004014492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05970889583774845,"score_gpt":0.396658834100079,"score_spread":0.3369499382623306,"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."}}