{"id":"W2938616397","doi":"10.1016/j.ejphar.2019.04.007","title":"A 3D bioprinted hydrogel mesh loaded with all-trans retinoic acid for treatment of glioblastoma","year":2019,"lang":"en","type":"article","venue":"European Journal of Pharmacology","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":50,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba; CancerCare Manitoba; Queen's University; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Children's Hospital Research Institute of Manitoba; Canada Foundation for Innovation","keywords":"Temozolomide; Cancer research; Apoptosis; Retinoic acid; Glioblastoma; Drug delivery; Radiation therapy; Programmed cell death; Medicine; Cell; Pharmacology; Cell culture; Chemistry; Materials science; Biology; Internal medicine; Nanotechnology; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00006075004,0.0001980097,0.0002014032,0.0001889096,0.0001146689,0.0001321678,0.0001741439,0.0003352744,0.0007368571],"category_scores_gemma":[0.00005551095,0.0001162211,0.0003041418,0.00009937451,0.00008852989,0.0001413522,0.0001066104,0.0001972721,0.0001346814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001634783,"about_ca_system_score_gemma":0.0001558053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001008165,"about_ca_topic_score_gemma":0.001995091,"domain_scores_codex":[0.9999537,0.000003598956,0.00000278089,0.00000947479,0.00001738862,0.00001298303],"domain_scores_gemma":[0.9999731,0.000005978857,0.000008071615,0.000002061164,0.000003954226,0.000006838339],"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":[0.0001396588,0.00002437417,0.00005298989,0.00007708696,0.000008113888,0.00009286757,0.00001175736,0.0003510492,0.9962183,0.0000234484,0.00006572867,0.002934689],"study_design_scores_gemma":[0.00004819005,0.0009245248,0.002613724,0.00001497854,0.00007579407,0.0002612653,0.00003253012,0.002989682,0.9898356,0.00002535952,0.00316186,0.00001664214],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927073,0.002808557,0.00251918,0.0001070828,0.0001270307,0.00003107427,0.000237225,0.00007426048,0.001388399],"genre_scores_gemma":[0.9927824,0.001680268,0.0035725,0.00006128603,0.00001953272,0.00003848827,0.0001335556,0.00001501398,0.001697041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001008165,"threshold_uncertainty_score":0.002465069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01891913948944554,"score_gpt":0.2921131501555964,"score_spread":0.2731940106661508,"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."}}