{"id":"W4386027157","doi":"10.3390/cells12162115","title":"Development of Beta-Amyloid-Specific CAR-Tregs for the Treatment of Alzheimer’s Disease","year":2023,"lang":"en","type":"article","venue":"Cells","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"Technische Universität Braunschweig; Deutsche Forschungsgemeinschaft; European Commission; Government of Canada","keywords":"Alzheimer's disease; BETA (programming language); Amyloid (mycology); Disease; Medicine; Amyloid beta; Neuroscience; Immunology; Biology; Pathology; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002596403,0.0002395343,0.0002689158,0.000168677,0.0001018425,0.0002572815,0.0002083448,0.0002691384,0.001022693],"category_scores_gemma":[0.00012373,0.00007137421,0.0002554274,0.00008706005,0.0001583323,0.000155051,0.0001370526,0.0008024051,0.0002376604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001358644,"about_ca_system_score_gemma":0.0002357565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001772808,"about_ca_topic_score_gemma":0.0002734978,"domain_scores_codex":[0.9999192,0.00001439946,0.000005169083,0.00001437187,0.00002019737,0.0000267289],"domain_scores_gemma":[0.9999534,0.00001041469,0.000006857195,0.000004391485,0.00001251247,0.00001235286],"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":[0.0006339764,0.0008112788,0.0006260665,0.0002478434,0.00004235291,0.0002354907,0.00009827185,0.000988394,0.9325816,0.001025942,0.000942662,0.06176602],"study_design_scores_gemma":[0.001007002,0.008794428,0.003075202,0.00006482103,0.0002092826,0.001237761,0.00008016498,0.007344198,0.9439082,0.0006051687,0.03365446,0.00001937149],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9664951,0.01025718,0.01695339,0.0005557648,0.0003265073,0.0003177316,0.0001986126,0.00025916,0.004636655],"genre_scores_gemma":[0.9894282,0.003003898,0.005422676,0.0001855133,0.0000615841,0.0001256526,0.0002086354,0.00001844057,0.00154538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001022693,"threshold_uncertainty_score":0.003421247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1028382175306936,"score_gpt":0.34392032822198,"score_spread":0.2410821106912864,"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."}}