{"id":"W4367296155","doi":"10.1101/2023.04.28.538637","title":"Chimeric Antigen Receptor Macrophages Target and Resorb Amyloid Plaques in a Mouse Model of Alzheimer’s Disease","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neuroinflammation and Neurodegeneration Mechanisms","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"National Institutes of Health; Hope Center for Neurological Disorders","keywords":"Chimeric antigen receptor; Amyloid (mycology); Microglia; Monoclonal antibody; Immunotherapy; Antibody; Antigen; Alzheimer's disease; Cancer research; Immunology; Biology; Medicine; Disease; Immune system; Pathology; Inflammation","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":[0.0008045872,0.001307729,0.000869594,0.001160297,0.0003684532,0.0005406775,0.000669509,0.001901124,0.001838228],"category_scores_gemma":[0.0001991552,0.0004759963,0.0008503903,0.0002917531,0.0005718733,0.0005585204,0.000335932,0.002645555,0.0008808472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005862337,"about_ca_system_score_gemma":0.0004498301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008364736,"about_ca_topic_score_gemma":0.0008775578,"domain_scores_codex":[0.9993543,0.00009390659,0.00006653807,0.0001547036,0.0001464314,0.0001841066],"domain_scores_gemma":[0.9996077,0.00005229182,0.000107798,0.00005553079,0.0000628303,0.000113766],"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":[0.0005966304,0.0004914507,0.0001221801,0.00006158279,0.00001547672,0.0001436641,0.00005298168,0.0001211297,0.9969115,0.0002841109,0.0001643101,0.001035102],"study_design_scores_gemma":[0.0002721484,0.003133364,0.001803378,0.00003361725,0.00006812209,0.000662288,0.00007251449,0.002828799,0.9855701,0.0002816923,0.005255664,0.00001824091],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834063,0.002092553,0.00889626,0.0007345352,0.0002657203,0.0002593546,0.001094678,0.0005921463,0.002658402],"genre_scores_gemma":[0.9751304,0.001501776,0.009807606,0.0003745903,0.00006062475,0.0006098,0.0008449397,0.0001197894,0.01155043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001901124,"threshold_uncertainty_score":0.00614953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04462610719459675,"score_gpt":0.250921277200568,"score_spread":0.2062951700059713,"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."}}