{"id":"W4380291901","doi":"10.1021/acsnano.3c01645","title":"Multivalent Carbohydrate Nanocomposites for Tumor Microenvironment Remodeling to Enhance Antitumor Immunity","year":2023,"lang":"en","type":"article","venue":"ACS Nano","topic":"Immune cells in cancer","field":"Immunology and Microbiology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Ministry of Science and Technology, Taiwan; National Research Foundation of Korea; Korea Health Industry Development Institute; Swedish Foundation for International Cooperation in Research and Higher Education","keywords":"Tumor microenvironment; Cancer immunotherapy; Adjuvant; Immune system; Cancer research; Immunotherapy; Immunogenicity; Innate immune system; Cytotoxic T cell; Biology; Immunology; Chemistry; Biochemistry; In vitro","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003737484,0.0002526565,0.0003272823,0.0001594118,0.0003912029,0.00002021407,0.0004712564,0.0001163607,0.0000937635],"category_scores_gemma":[0.00008321059,0.0002492963,0.0001220667,0.0002676084,0.0001152847,0.00007411549,0.0003427982,0.0002071558,0.002369769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001504346,"about_ca_system_score_gemma":0.00004773163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001178084,"about_ca_topic_score_gemma":0.00001092587,"domain_scores_codex":[0.9983261,0.0001128717,0.0003818953,0.0004644455,0.00004767373,0.0006670632],"domain_scores_gemma":[0.9989834,0.0001991937,0.0001142684,0.0006139635,0.00005873897,0.00003044146],"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":[0.0001547783,0.00007199305,0.0001864073,0.00004196143,0.0000760959,0.000004286341,0.0005208377,0.0004650863,0.9911873,0.00002280408,0.00517052,0.002097969],"study_design_scores_gemma":[0.0005417862,0.0001341346,0.0006982911,0.00008823076,0.00003012658,0.000009721687,0.0001307401,0.00004025392,0.9076676,0.00005060475,0.09033455,0.0002739441],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936373,0.002368695,0.000386642,0.0004818004,0.001744034,0.0009280152,0.00008561451,0.0001867346,0.0001811326],"genre_scores_gemma":[0.9879148,0.0002349963,0.001148478,0.0004790052,0.00004807887,0.0002843895,0.0001672098,0.00005447641,0.009668577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08516403,"threshold_uncertainty_score":0.9999959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01431555407270928,"score_gpt":0.2745990759635226,"score_spread":0.2602835218908133,"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."}}