{"id":"W4378696047","doi":"10.1016/b978-0-323-99873-4.00019-0","title":"Potential theranostic targets in glioblastoma","year":2023,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Nanoplatforms for cancer theranostics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"CancerCare Manitoba; University of Victoria; Research Institute in Oncology and Hematology; Children's Hospital Research Institute of Manitoba; University of Manitoba","funders":"","keywords":"Glioblastoma; Radiation therapy; Drug delivery; Medicine; Chemotherapy; Brain tumor; Cancer research; Internal medicine; Nanotechnology; Pathology; Materials science","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":[0.0001051141,0.0004891668,0.0002124581,0.0006047742,0.0001938291,0.0008484509,0.0002766233,0.0006123786,0.01762508],"category_scores_gemma":[0.00008563876,0.0001516113,0.0001634714,0.0005394637,0.0001843374,0.000805963,0.0004062384,0.0005800148,0.006791704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004662344,"about_ca_system_score_gemma":0.0003230134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001038004,"about_ca_topic_score_gemma":0.003073405,"domain_scores_codex":[0.9999633,0.000003520558,0.000001926621,0.000006160461,0.00001827864,0.000006877494],"domain_scores_gemma":[0.9999818,0.000006407402,0.000002332075,0.000001142661,0.000004862544,0.000003365379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006975557,0.00007828639,0.00009707997,0.001035269,0.000009948064,0.0004055095,0.0001231922,0.001258741,0.1078255,0.03284065,0.07998348,0.7762727],"study_design_scores_gemma":[0.000007800068,0.00007242626,0.00025767,0.0002759086,0.000009821844,0.0008305851,0.00005289983,0.0007868619,0.02872552,0.008264018,0.9607055,0.00001086614],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.01930654,0.3887872,0.02781291,0.005265877,0.003540322,0.0001272812,0.0007750327,0.0006282413,0.5537566],"genre_scores_gemma":[0.03837406,0.1988978,0.0103226,0.001680621,0.0005284077,0.0000872621,0.0004494019,0.0001717268,0.7494882],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01762508,"threshold_uncertainty_score":0.05896181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007707402689513228,"score_gpt":0.20009807459205,"score_spread":0.1923906719025368,"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."}}