{"id":"W248124385","doi":"10.1016/j.ygeno.2015.05.002","title":"Personalized diagnosis of medulloblastoma subtypes across patients and model systems","year":2015,"lang":"en","type":"article","venue":"Genomics","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; Ontario Institute for Cancer Research; University of Toronto; University Health Network","funders":"Fondation Brain Canada; Cancer Research Society","keywords":"Biology; Medulloblastoma; Computational biology; Genetics; Bioinformatics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002640561,0.0005503364,0.0009223624,0.0009157821,0.0004375035,0.001838166,0.001006675,0.0007966949,0.001680755],"category_scores_gemma":[0.009575169,0.0003625669,0.001402108,0.0005749607,0.0004619382,0.001526315,0.0008726835,0.001063449,0.0003976484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002001762,"about_ca_system_score_gemma":0.001768689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01340572,"about_ca_topic_score_gemma":0.01681414,"domain_scores_codex":[0.9987105,0.0006173739,0.00005696425,0.0003740702,0.0001329874,0.0001081599],"domain_scores_gemma":[0.9969699,0.002089139,0.0002730495,0.0003568138,0.0002371596,0.00007412129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001367579,0.0003725391,0.1493439,0.0002591243,0.001481805,0.0005109893,0.0004527071,0.6761184,0.003691377,0.016628,0.007816027,0.1419576],"study_design_scores_gemma":[0.00007506906,0.0001408072,0.01594612,0.00003165118,0.0003400684,0.0001965128,0.000183197,0.9333885,0.001928193,0.04544821,0.002287231,0.00003430477],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7126924,0.001937124,0.2592892,0.006719252,0.0001587983,0.0003200606,0.01078973,0.001590589,0.006502897],"genre_scores_gemma":[0.9626833,0.000379415,0.03082239,0.0003030259,0.00004388108,0.00006729699,0.004481901,0.00007252147,0.001146264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01340572,"threshold_uncertainty_score":0.02665538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02982181280083109,"score_gpt":0.2741260570302863,"score_spread":0.2443042442294552,"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."}}