{"id":"W2892207721","doi":"10.1016/j.omto.2018.09.002","title":"Glioblastoma Bystander Cell Therapy: Improvements in Treatment and Insights into the Therapy Mechanisms","year":2018,"lang":"en","type":"article","venue":"Molecular Therapy — Oncolytics","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Instituto de Salud Carlos III; Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina; Consejo Superior de Investigaciones Científicas; Ministerio de Economía y Competitividad; Universidad de Málaga; Canadian Institute of Steel Construction; Universitat de Barcelona; Ministerio de Ciencia e Innovación","keywords":"Bystander effect; Glioblastoma; Medicine; Oncology; Cancer research; Immunology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005614715,0.0008181351,0.0005091228,0.0007622557,0.0001470322,0.0005470073,0.0003804697,0.0006841577,0.001132694],"category_scores_gemma":[0.0001521916,0.0001541795,0.0004286224,0.000351423,0.0003209567,0.0005727649,0.0002364625,0.001037374,0.0002955187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000663857,"about_ca_system_score_gemma":0.0005257379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00125874,"about_ca_topic_score_gemma":0.001713175,"domain_scores_codex":[0.9998013,0.00004171799,0.00001204507,0.00002965647,0.00007566757,0.00003960402],"domain_scores_gemma":[0.9999111,0.00001395422,0.00002187348,0.00001052763,0.00002260442,0.00001980361],"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":[0.0001671439,0.0001987407,0.0003380468,0.0004385346,0.00002092997,0.0001753493,0.00006412937,0.0006431688,0.9392713,0.002774307,0.0007154169,0.05519303],"study_design_scores_gemma":[0.00007884875,0.002476729,0.003837847,0.00009061754,0.0001050079,0.001311145,0.00006358793,0.004145752,0.9412192,0.001431174,0.04521258,0.00002757613],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6470904,0.2193186,0.1097619,0.008042485,0.000680565,0.0005557853,0.001187012,0.001514008,0.01184914],"genre_scores_gemma":[0.8198991,0.1169222,0.05066968,0.001032483,0.0003560477,0.0002479706,0.0008217294,0.0001492656,0.009901647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00125874,"threshold_uncertainty_score":0.004816651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01404069675444263,"score_gpt":0.2727643339396261,"score_spread":0.2587236371851834,"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."}}