{"id":"W4389752179","doi":"10.1016/j.nantod.2023.102104","title":"TAM-preferential nanoparticles intracellularly self-assembled for enhanced macrophage repolarization and cancer immunotherapy","year":2023,"lang":"en","type":"article","venue":"Nano Today","topic":"Immune cells in cancer","field":"Immunology and Microbiology","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Fundo para o Desenvolvimento das Ciências e da Tecnologia; Simon Fraser University; Science, Technology and Innovation Commission of Shenzhen Municipality; Universidade de Macau; National Natural Science Foundation of China","keywords":"Internalization; Tumor microenvironment; Immunotherapy; Chemistry; Cancer research; Cancer immunotherapy; Intracellular; Nanomedicine; Cytotoxic T cell; In vitro; Cell biology; Immune system; Nanotechnology; Cell; Nanoparticle; Immunology; Materials science; Medicine; Biochemistry; Biology; Tumor cells","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":[0.00008741701,0.0002326449,0.0001419101,0.00009878571,0.0001206746,0.0001726326,0.0001448863,0.0003182467,0.0009635235],"category_scores_gemma":[0.00009530816,0.0001072725,0.0001419347,0.00006996118,0.00009927193,0.0001881715,0.0001710927,0.0003039171,0.0003558634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001599705,"about_ca_system_score_gemma":0.0001075155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001756789,"about_ca_topic_score_gemma":0.000362658,"domain_scores_codex":[0.9999371,0.000008904124,0.000003205842,0.00001780167,0.00001049861,0.00002248919],"domain_scores_gemma":[0.9999676,0.000006207515,0.000008346586,0.000003088072,0.00000772965,0.000007004194],"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":[0.00005544144,0.00001178224,0.00002810924,0.00003344071,0.000002372898,0.00002140154,0.000009925968,0.00007372798,0.9981679,0.0001686495,0.00008583008,0.001341381],"study_design_scores_gemma":[0.000009965942,0.0001123438,0.0001588245,0.000002702339,0.000008911774,0.00004810777,0.000006974063,0.0008556686,0.9972795,0.0000318104,0.001482661,0.000002543222],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9780123,0.001630766,0.01620558,0.0001724419,0.0001136999,0.00005771031,0.0001083602,0.0002144073,0.003484798],"genre_scores_gemma":[0.9925857,0.0003050907,0.00445722,0.00009697485,0.00001441737,0.00004046312,0.00005456792,0.00002933982,0.002416157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009635235,"threshold_uncertainty_score":0.00322324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01132566064616616,"score_gpt":0.2633314015419218,"score_spread":0.2520057408957557,"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."}}