{"id":"W3128220657","doi":"10.1002/ccr3.3804","title":"NTRK2 Fusion driven pediatric glioblastoma: Identification of oncogenic Drivers via integrative Genome and transcriptome profiling","year":2021,"lang":"en","type":"article","venue":"Clinical Case Reports","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children's & Women's Health Centre of British Columbia; BC Children's Hospital; BC Cancer Agency; Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"BC Cancer Agency","keywords":"Glioblastoma; Medicine; Transcriptome; Genome; Profiling (computer programming); Fusion gene; Gene expression profiling; Computational biology; Bioinformatics; Cancer research; Gene; Genetics; Biology; Gene expression","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":[0.0001843685,0.0002498564,0.0002388756,0.0003928721,0.0002041272,0.0004915871,0.0001125655,0.0002473708,0.0007195694],"category_scores_gemma":[0.0002505326,0.0001052199,0.0001986972,0.0003139955,0.0001995238,0.0001504268,0.0003325605,0.000427773,0.0002426522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003142875,"about_ca_system_score_gemma":0.0003613394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009974593,"about_ca_topic_score_gemma":0.002871191,"domain_scores_codex":[0.9998155,0.00001384049,0.00001079756,0.00004344849,0.0000813051,0.00003503007],"domain_scores_gemma":[0.9998851,0.00002415258,0.00003486752,0.00001341903,0.00002126046,0.00002114584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"case_report","study_design_scores_codex":[0.0001904717,0.00003229688,0.01706135,0.0001068665,0.00005077079,0.001824921,0.0001669222,0.0005426853,0.9656019,0.0005030707,0.0005401619,0.01337859],"study_design_scores_gemma":[0.00002969882,0.0004433714,0.2258157,0.00007364744,0.0003198046,0.02469352,0.0007828452,0.008970773,0.6931641,0.001293367,0.04435646,0.00005684491],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9707909,0.001890285,0.01829065,0.0002393956,0.00003511902,0.00008950527,0.005374756,0.0003166714,0.002972851],"genre_scores_gemma":[0.9768942,0.001618761,0.01386147,0.000146682,0.00001013869,0.00005069548,0.006428014,0.0001048591,0.0008851561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009974593,"threshold_uncertainty_score":0.002407253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02586925727397052,"score_gpt":0.3340277330678455,"score_spread":0.308158475793875,"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."}}