{"id":"W2588612590","doi":"10.1093/neuonc/now212.293","title":"EXTH-51. BREVICAN-SPECIFIC PEPTIDES FOR THE DEVELOPMENT OF NEXT-GENERATION TARGETED THERANOSTICS FOR MALIGNANT GLIOMAS","year":2016,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Ubiquitin and proteasome pathways","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Glioma; Flow cytometry; Peptide library; Peptide; Cancer research; Cancer cell; Biology; Molecular biology; Chemistry; Cancer; Biochemistry; Peptide sequence; Gene","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":[0.0002962199,0.0005724672,0.0003378248,0.0004228772,0.0001886409,0.0003663595,0.0002593533,0.0004425082,0.001831936],"category_scores_gemma":[0.0001523683,0.0001965691,0.0002673199,0.0003172537,0.0001998817,0.0002312437,0.0003510254,0.0005241985,0.001086741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004141355,"about_ca_system_score_gemma":0.0003249008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004282787,"about_ca_topic_score_gemma":0.0009867521,"domain_scores_codex":[0.9997885,0.00003017632,0.00001222771,0.00003634007,0.000076961,0.00005578198],"domain_scores_gemma":[0.999943,0.00001033749,0.00001163452,0.000005110967,0.00001004591,0.00001978785],"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":[0.0001360516,0.00007308421,0.0001540475,0.0001175788,0.00001046531,0.0001142331,0.00001759899,0.0006759195,0.9842383,0.000322288,0.0003257495,0.01381462],"study_design_scores_gemma":[0.00005813533,0.0005809612,0.001153101,0.00001484455,0.00001782649,0.0003403262,0.00001138387,0.00208059,0.9868758,0.0001074799,0.008743742,0.00001578265],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9206319,0.01359561,0.04662988,0.0004641486,0.0001724733,0.0008810419,0.002221438,0.0009671006,0.01443633],"genre_scores_gemma":[0.9410741,0.005341043,0.03819463,0.0004477623,0.00003824543,0.0004281731,0.002534282,0.00007832087,0.01186359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001831936,"threshold_uncertainty_score":0.00612849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07028637340521543,"score_gpt":0.2912257934714994,"score_spread":0.2209394200662839,"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."}}