{"id":"W2520907200","doi":"10.7150/thno.15102","title":"Magnetic Enrichment of Dendritic Cell Vaccine in Lymph Node with Fluorescent-Magnetic Nanoparticles Enhanced Cancer Immunotherapy","year":2016,"lang":"en","type":"article","venue":"Theranostics","topic":"Immunotherapy and Immune Responses","field":"Immunology and Microbiology","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Open Research Fund of State Key Laboratory of Bioelectronics; Major Research Plan; State Key Laboratory of Bioelectronics; Wuhan National Laboratory for Optoelectronics; Fundamental Research Funds for the Central Universities; University of Toronto; China Postdoctoral Science Foundation; Chinese Academy of Sciences; Southeast University; National Natural Science Foundation of China","keywords":"Homing (biology); Immunotherapy; In vivo; Dendritic cell; Lymph node; Cancer immunotherapy; Magnetic resonance imaging; In vitro; Cancer research; Antigen; Materials science; Lymph; Magnetic nanoparticles; Chemistry; Medicine; Nanotechnology; Immune system; Immunology; Nanoparticle; Pathology; Biology","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":[0.0001648957,0.0003351778,0.0003428792,0.0001927866,0.0001579907,0.0002523118,0.0002386491,0.0004236395,0.0004799149],"category_scores_gemma":[0.0001433233,0.000137236,0.0002011054,0.0001273931,0.000200724,0.0003007138,0.0003071068,0.0003385786,0.00032236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003494804,"about_ca_system_score_gemma":0.0002492254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004066776,"about_ca_topic_score_gemma":0.000570429,"domain_scores_codex":[0.9998647,0.00002828166,0.00000719136,0.00003546672,0.00003111398,0.0000333315],"domain_scores_gemma":[0.9999657,0.000006316921,0.000007653636,0.000003088926,0.000009290365,0.000008018395],"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":[0.00006254542,0.00003604835,0.00006531784,0.00006896834,0.000003418453,0.00003487957,0.0000127798,0.0002970477,0.9953897,0.0002423945,0.0001107214,0.00367623],"study_design_scores_gemma":[0.00002367363,0.0001522346,0.0001640238,0.000005235249,0.00001359462,0.00008162393,0.000005249438,0.003432534,0.9930654,0.00006688688,0.002984544,0.000004965458],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9413731,0.006498655,0.04614269,0.0004911373,0.0001930268,0.0001920835,0.0001304327,0.0002848852,0.004693925],"genre_scores_gemma":[0.9705157,0.001340015,0.02494791,0.0001752449,0.00004307548,0.0001089059,0.0001116175,0.00004064296,0.002716878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004799149,"threshold_uncertainty_score":0.002535641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005550173297280943,"score_gpt":0.2175147493711956,"score_spread":0.2119645760739146,"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."}}