{"id":"W4393979182","doi":"10.1172/jci.insight.175015","title":"Chimeric antigen receptor macrophages target and resorb amyloid plaques","year":2024,"lang":"en","type":"article","venue":"JCI Insight","topic":"Neuroinflammation and Neurodegeneration Mechanisms","field":"Neuroscience","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"National Institute of Neurological Disorders and Stroke; NIH Office of the Director; National Institute on Aging; National Institutes of Health","keywords":"Chimeric antigen receptor; Immunotherapy; Amyloid (mycology); Immunology; Antigen; Cytokine; Medicine; Cognitive decline; Receptor; Disease; Neuroscience; Biology; Immune system; Pathology; Internal medicine; Dementia","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001703325,0.0003446621,0.0001983271,0.0002036544,0.0001062986,0.0002913192,0.0002708645,0.0004983124,0.0009412299],"category_scores_gemma":[0.0001294399,0.0001194438,0.0002021275,0.00005899634,0.0002319056,0.0002670255,0.0002812251,0.0005536645,0.0005847971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001785283,"about_ca_system_score_gemma":0.0002260271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002235574,"about_ca_topic_score_gemma":0.0003468771,"domain_scores_codex":[0.999881,0.00002055303,0.000005836145,0.0000258021,0.00003020572,0.00003657295],"domain_scores_gemma":[0.9999378,0.00001150012,0.00001692602,0.000009583845,0.00001360209,0.00001067585],"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":[0.00007777636,0.00004182668,0.0001779913,0.00004051175,0.000006604978,0.00009104579,0.00003716085,0.0002149033,0.9935889,0.00111982,0.0001606886,0.004442659],"study_design_scores_gemma":[0.00003229297,0.0002807374,0.0005305468,0.000009070346,0.00001583968,0.0004604343,0.00003705096,0.00162331,0.9868242,0.0004461912,0.009734324,0.000005813753],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9488128,0.005278013,0.03879795,0.0005739104,0.0001242206,0.0001174146,0.0001537677,0.0004117628,0.005730201],"genre_scores_gemma":[0.9727243,0.002028593,0.01765464,0.0002290291,0.00002635366,0.00008616231,0.0001244969,0.00004197142,0.007084528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009412299,"threshold_uncertainty_score":0.003148675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02345364389635343,"score_gpt":0.2575670692658225,"score_spread":0.234113425369469,"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."}}