{"id":"W4312053323","doi":"10.1063/5.0125692","title":"Biomaterials for enhanced immunotherapy","year":2022,"lang":"en","type":"review","venue":"APL Bioengineering","topic":"Immunotherapy and Immune Responses","field":"Immunology and Microbiology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Centre Hospitalier de l’Université de Montréal","funders":"Institute of Cancer Research; Natural Sciences and Engineering Research Council of Canada; Institut Du Cancer de Montréal","keywords":"Immunotherapy; Medicine; Cancer immunotherapy; Immune system; Drug delivery; Cancer; Cancer treatment; Immunology; Nanotechnology; Internal medicine; Materials science","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":[0.0003903563,0.0008590966,0.0007617521,0.001880273,0.0002471273,0.001185036,0.0004818933,0.0012442,0.00460758],"category_scores_gemma":[0.0004270739,0.0002859222,0.0004380506,0.001223375,0.000407989,0.001234925,0.0008956865,0.001895523,0.003356922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005647121,"about_ca_system_score_gemma":0.000608746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003156249,"about_ca_topic_score_gemma":0.000462215,"domain_scores_codex":[0.9997498,0.00004175923,0.00001960926,0.00003838722,0.0001227699,0.00002757317],"domain_scores_gemma":[0.9998876,0.00004558536,0.00002000915,0.000006394981,0.000029368,0.00001110018],"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":[0.00006677339,0.0001379181,0.0001357892,0.01534651,0.00007609488,0.0003841489,0.0001187055,0.0007131565,0.04482255,0.02919951,0.03562927,0.8733696],"study_design_scores_gemma":[0.000009138824,0.00005840633,0.0002164032,0.001135098,0.00002488902,0.0008767946,0.00002743743,0.0001314803,0.00460973,0.002929561,0.9899673,0.00001379244],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004577649,0.9923602,0.0009777416,0.0003497679,0.0005835633,0.00001435598,0.00002953042,0.00002301145,0.005204198],"genre_scores_gemma":[0.003649697,0.9895772,0.001047419,0.0004056406,0.0003389229,0.00003188229,0.00006032237,0.000008801895,0.004880261],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00460758,"threshold_uncertainty_score":0.01541394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03854975517926287,"score_gpt":0.3035775007190483,"score_spread":0.2650277455397855,"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."}}