{"id":"W4383737510","doi":"10.1186/s40478-023-01609-7","title":"Dynamic profiling of medulloblastoma surfaceome","year":2023,"lang":"en","type":"article","venue":"Acta Neuropathologica Communications","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University Medical Centre; Princess Margaret Cancer Centre; University of Toronto; McMaster University","funders":"Canadian Cancer Society Research Institute; Canadian Institutes of Health Research; Ontario Institute for Cancer Research; Mach-Gaensslen Foundation of Canada","keywords":"Medulloblastoma; Profiling (computer programming); Medicine; Neuroscience; Computational biology; Bioinformatics; Biology; Computer science; Pathology","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":[0.00006814541,0.0001970255,0.0001342285,0.0003681214,0.0001291589,0.0002511602,0.00008975565,0.0001685325,0.000619487],"category_scores_gemma":[0.0001243862,0.00007051651,0.0001701042,0.0002905786,0.00009687788,0.0001896695,0.00019417,0.0002611878,0.0001782759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002423719,"about_ca_system_score_gemma":0.0001199709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001371553,"about_ca_topic_score_gemma":0.001927133,"domain_scores_codex":[0.9999262,0.000005040818,0.000003108687,0.00001850012,0.0000299302,0.00001727904],"domain_scores_gemma":[0.9999602,0.000005625475,0.00001170298,0.000004083941,0.00001155015,0.000006918634],"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":[0.00004237792,0.000007006498,0.001404963,0.00001951494,0.000005008483,0.00002826922,0.00001912481,0.0002094358,0.9957849,0.00006106361,0.00004676648,0.002371529],"study_design_scores_gemma":[0.000005067669,0.0002562614,0.1055119,0.00001217397,0.00003507573,0.0005815264,0.0001906695,0.009443356,0.8775179,0.0002879924,0.006138916,0.00001927518],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901122,0.0005504984,0.006802576,0.00004829601,0.000009388807,0.00001991428,0.001052206,0.00006393278,0.001340804],"genre_scores_gemma":[0.9904847,0.0007703385,0.005163369,0.00004428209,0.000005044714,0.00003084155,0.001824986,0.00002987673,0.001646503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001371553,"threshold_uncertainty_score":0.002727151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02535593193099862,"score_gpt":0.2933485434538061,"score_spread":0.2679926115228075,"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."}}