{"id":"W4387398407","doi":"10.1016/j.actbio.2023.10.002","title":"Injectable hydrogels for personalized cancer immunotherapies","year":2023,"lang":"en","type":"review","venue":"Acta Biomaterialia","topic":"CAR-T cell therapy research","field":"Medicine","cited_by":64,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria; University of British Columbia","funders":"Terasaki Institute for Biomedical Innovation; National Center for Advancing Translational Sciences; National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Institutes of Health; Foundation for the National Institutes of Health","keywords":"Self-healing hydrogels; Materials science; Cancer; Cancer immunotherapy; Immunotherapy; Biomedical engineering; Medicine; Internal medicine; Polymer chemistry","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":[0.000553483,0.001116024,0.001078518,0.00157235,0.0001499926,0.0008417752,0.0006002894,0.001010865,0.004873371],"category_scores_gemma":[0.0004306574,0.0003355679,0.0004744105,0.001056478,0.0003698959,0.001073677,0.0006412618,0.001652977,0.001865566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004051931,"about_ca_system_score_gemma":0.0005206843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000456612,"about_ca_topic_score_gemma":0.001099149,"domain_scores_codex":[0.9998827,0.00001921996,0.00001051345,0.00001956655,0.0000484474,0.00001966266],"domain_scores_gemma":[0.9998815,0.00005839252,0.00002425907,0.000004646535,0.00002021595,0.00001089876],"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":[0.0001406536,0.0001437533,0.00005395556,0.01488476,0.00009210049,0.0001747147,0.0000362044,0.0004983516,0.01166972,0.005345775,0.02733825,0.9396218],"study_design_scores_gemma":[0.0000810748,0.0002030936,0.0003161183,0.002633979,0.0001702677,0.000695866,0.00002996431,0.0002584217,0.004578232,0.002107305,0.9888993,0.00002644381],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002515975,0.9972824,0.0004215811,0.0001668984,0.0003491889,0.0000105358,0.00003174588,0.00001357283,0.001472462],"genre_scores_gemma":[0.002072658,0.9947401,0.0005170781,0.0002847395,0.0002532364,0.00002210918,0.0000533052,0.00000433523,0.002052469],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004873371,"threshold_uncertainty_score":0.016303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1338811687094837,"score_gpt":0.4307899513428981,"score_spread":0.2969087826334144,"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."}}