{"id":"W3119609930","doi":"10.1038/s41398-020-01175-9","title":"A cortical immune network map identifies distinct microglial transcriptional programs associated with β-amyloid and Tau pathologies","year":2021,"lang":"en","type":"article","venue":"Translational Psychiatry","topic":"Neuroinflammation and Neurodegeneration Mechanisms","field":"Neuroscience","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"National Institute of Neurological Disorders and Stroke; Natural Sciences and Engineering Research Council of Canada; National Institute on Aging; National Institutes of Health; Australian Government","keywords":"Neuroscience; Microglia; Amyloid β; Amyloid (mycology); Schizophrenia (object-oriented programming); Immune system; Medicine; Biology; Psychology; Disease; Immunology; Pathology; Psychiatry; Inflammation","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001841896,0.0002274548,0.0002172254,0.0000480277,0.0004834468,0.000199371,0.0001216926,0.00009697496,0.0002110785],"category_scores_gemma":[0.00008245093,0.0002090806,0.000103842,0.000299497,0.0002236367,0.0002739874,0.00001665833,0.0002997653,0.00002453604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009416114,"about_ca_system_score_gemma":0.0001960025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.938381e-7,"about_ca_topic_score_gemma":0.00009506021,"domain_scores_codex":[0.9978559,0.0003113577,0.0004336349,0.0005722955,0.0005055029,0.0003213061],"domain_scores_gemma":[0.9993302,0.0001892892,0.0001129654,0.000172567,0.00009473494,0.0001002016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002710928,0.0004164544,0.008061578,0.00004803525,0.00002990544,0.00009792866,0.0002723122,0.0004042411,0.8746163,0.114821,0.0002636816,0.0006974298],"study_design_scores_gemma":[0.01005431,0.0009280389,0.5844407,0.0004319014,0.0003484364,0.001379263,0.0002731482,0.004793143,0.302084,0.0891528,0.004053043,0.002061216],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840651,0.000420632,0.00607777,0.00708431,0.001325063,0.0003575163,0.000113276,0.0002735109,0.0002828478],"genre_scores_gemma":[0.9949494,0.00002980869,0.002968891,0.0007891114,0.0002526552,0.00004034018,0.0001990116,0.00003225348,0.0007385145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5763791,"threshold_uncertainty_score":0.8526059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02835584318834802,"score_gpt":0.2460955120906043,"score_spread":0.2177396689022563,"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."}}