{"id":"W3215519365","doi":"10.1093/neuonc/noab196.669","title":"EXTH-30. HARNESSING CELLULAR STRESS FOR IMMUNE TARGETING OF DIPGS","year":2021,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Cancer Research and Treatments","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Medicine; Context (archaeology); Immune system; Cancer research; In vivo; Ex vivo; Glioma; Pharmacology; Immunology; Biology; Genetics","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":[0.0001032985,0.0002175291,0.0001660746,0.0001382157,0.00008941889,0.000207382,0.0001438715,0.0002267286,0.003040442],"category_scores_gemma":[0.00005151178,0.00006801121,0.0001820652,0.00008729331,0.000119898,0.0001137022,0.000200759,0.0004780659,0.0006788647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002278379,"about_ca_system_score_gemma":0.000247006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003623534,"about_ca_topic_score_gemma":0.0008215311,"domain_scores_codex":[0.999943,0.000006162569,0.000002612329,0.000008755511,0.00002084894,0.00001853807],"domain_scores_gemma":[0.9999686,0.000003495619,0.000004830975,0.000003235683,0.000003825404,0.00001592698],"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":[0.000654089,0.0002853759,0.0003647464,0.0002000895,0.00001686019,0.0001564312,0.0000261347,0.000565191,0.9749976,0.0004652326,0.001521472,0.02074687],"study_design_scores_gemma":[0.000415379,0.004403959,0.005512664,0.00002705841,0.0000403987,0.0008388191,0.00004446922,0.002543018,0.9522792,0.0003706605,0.03350779,0.00001661432],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725075,0.004549224,0.005221648,0.0006736474,0.0001725277,0.0004105016,0.003271414,0.0005714625,0.01262206],"genre_scores_gemma":[0.9840248,0.00177538,0.002794572,0.0004140438,0.00002128407,0.000140878,0.003096808,0.00003657781,0.007695641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003040442,"threshold_uncertainty_score":0.01017123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01776142761993329,"score_gpt":0.3139705883554132,"score_spread":0.2962091607354799,"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."}}