{"id":"W4411879821","doi":"10.1152/physiol.2025.40.s1.1114","title":"Targeting macrophages with biomass-derived nanoparticles for enhanced anti-inflammatory effects of curcuminoids","year":2025,"lang":"en","type":"article","venue":"Physiology","topic":"Curcumin's Biomedical Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint John Regional Hospital; Dalhousie University","funders":"","keywords":"Nanoparticle; Biomass (ecology); Chemistry; Macrophage; Inflammation; Nanotechnology; Immunology; Medicine; Biochemistry; Biology; In vitro; Materials science; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005932345,0.0001330307,0.0002128485,0.00004154499,0.00007041812,0.000004066068,0.0001775968,0.0001163348,0.000004720806],"category_scores_gemma":[0.0001105135,0.0001103936,0.0000620287,0.0001293124,0.000315343,0.000002459785,0.00009392499,0.00004015949,0.000003070871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007076215,"about_ca_system_score_gemma":0.0000676645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005684526,"about_ca_topic_score_gemma":0.000002389552,"domain_scores_codex":[0.9991389,0.00003931285,0.0002021491,0.0003324602,0.00005011585,0.0002370727],"domain_scores_gemma":[0.9994026,0.00008391936,0.0001037208,0.0002675985,0.00009971757,0.00004247143],"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":[0.0001077814,0.00008684016,0.0001993123,0.0003000736,0.00009036602,3.64098e-7,0.00002312414,0.00001293499,0.9977512,0.0002327028,0.0004887205,0.0007065774],"study_design_scores_gemma":[0.0007905504,0.0002366798,0.007795437,0.00002504477,0.00003293745,5.096175e-7,0.0000241154,0.00003945735,0.988003,0.000371355,0.002567224,0.0001136473],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880183,0.0005895572,0.01062974,0.0001549012,0.00009278229,0.0004367051,0.0000152717,0.00001954231,0.00004314026],"genre_scores_gemma":[0.997895,0.00004049609,0.001371616,0.0001168139,0.00008987915,0.0002791702,0.0001081379,0.00001411349,0.00008474741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009876668,"threshold_uncertainty_score":0.4501722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003013376899045346,"score_gpt":0.2405809340043389,"score_spread":0.2375675571052936,"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."}}