{"id":"W2441823205","doi":"10.1093/neuonc/now075.50","title":"LG-50MULTIPLEX DETECTION OF PEDIATRIC LOW GRADE GLIOMA SIGNATURE FUSION AND DUPLICATION TRANSCRIPTS USING THE NANOSTRING NCOUNTER SYSTEM","year":2016,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Graphene and Nanomaterials Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"","keywords":"Gene duplication; Signature (topology); Computational biology; Computer science; Biology; Cancer research; Genetics; Gene; Mathematics","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":[0.0008158378,0.0003972214,0.000372163,0.001848048,0.0002515571,0.0004214899,0.0004266581,0.0004880369,0.002265899],"category_scores_gemma":[0.0006652878,0.0002627832,0.0002644289,0.0007463337,0.0003027263,0.0002370921,0.0004394429,0.0002721987,0.0005472669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005143991,"about_ca_system_score_gemma":0.0003438671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001770641,"about_ca_topic_score_gemma":0.0045003,"domain_scores_codex":[0.9990632,0.0001450353,0.00008648891,0.0002784366,0.0002949415,0.0001319975],"domain_scores_gemma":[0.9998035,0.00006347777,0.00003904703,0.00004059216,0.0000330072,0.0000203165],"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":[0.000270654,0.00004028952,0.06196782,0.0001863022,0.00006468909,0.001213406,0.0002613512,0.0009054661,0.9053999,0.0003677158,0.001275019,0.0280474],"study_design_scores_gemma":[0.0000435558,0.000474227,0.2390616,0.0000539916,0.0001416964,0.00913849,0.0002132946,0.01425237,0.7222134,0.0005096428,0.0138592,0.00003845436],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9627975,0.001342806,0.0272341,0.000166019,0.00002092547,0.0001848998,0.002525232,0.001150191,0.004578506],"genre_scores_gemma":[0.9162706,0.0008780184,0.07251351,0.0002421794,0.00001597415,0.000551391,0.005681692,0.0001658944,0.00368072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002265899,"threshold_uncertainty_score":0.007580221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01306839047803286,"score_gpt":0.2267489061227185,"score_spread":0.2136805156446857,"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."}}