{"id":"W2607166912","doi":"10.1038/ng.3838","title":"Spatial heterogeneity in medulloblastoma","year":2017,"lang":"en","type":"article","venue":"Nature Genetics","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":143,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; Ontario Institute for Cancer Research; Simon Fraser University; McGill University Health Centre; McGill University; University of Toronto; Montreal Children's Hospital; SickKids Foundation; BC Cancer Agency; Princess Margaret Cancer Centre; University Health Network; St. Michael's Hospital; Canada's Michael Smith Genome Sciences Centre; Hospital for Sick Children","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Cancer Institute; Francis Crick Institute","keywords":"Genetic heterogeneity; Transcriptome; Biology; Spatial heterogeneity; Tumour heterogeneity; Homogeneous; Somatic cell; Cancer research; Glioma; Somatic evolution in cancer; Targeted therapy; Medulloblastoma; Biopsy; Tumor heterogeneity; Computational biology; Gene; Genetics; Phenotype; Cancer; Pathology; Medicine; 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":[0.0002931067,0.0001376617,0.0002472668,0.00161464,0.000358865,0.0008811632,0.0003582363,0.0002254546,0.001378508],"category_scores_gemma":[0.001071834,0.000412929,0.0001496686,0.0008986172,0.0004890829,0.0006275011,0.0006052583,0.0002493271,0.0002982495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008299189,"about_ca_system_score_gemma":0.000313719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006333074,"about_ca_topic_score_gemma":0.006033022,"domain_scores_codex":[0.9997414,0.00003524905,0.00001720958,0.00006627437,0.00008784996,0.00005204039],"domain_scores_gemma":[0.9994236,0.0001348062,0.0002163831,0.00008248346,0.00007860694,0.00006412286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001187605,0.00006982027,0.227461,0.0002483583,0.000216787,0.002580943,0.0007187308,0.009269848,0.6959459,0.02008225,0.001513203,0.04070548],"study_design_scores_gemma":[0.00005364039,0.0001135669,0.8101599,0.00003018593,0.0001564923,0.01342066,0.001248296,0.01692104,0.1324069,0.01243381,0.01299328,0.00006230458],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899838,0.002048519,0.004665643,0.0001641849,0.000008625452,0.000007570547,0.0002438986,0.0001111421,0.002766596],"genre_scores_gemma":[0.9987156,0.0002303683,0.0005305218,0.00000997568,0.000006926207,0.00000454974,0.0000706374,0.00001659756,0.0004149291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006333074,"threshold_uncertainty_score":0.01259243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00689660226055799,"score_gpt":0.2724231199390668,"score_spread":0.2655265176785088,"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."}}