{"id":"W4410747443","doi":"10.1093/brain/awaf066","title":"Mapping the peripheral immune landscape of Parkinson’s disease patients with single-cell sequencing","year":2025,"lang":"en","type":"article","venue":"Brain","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Fonds de Recherche du Québec - Santé; Courtois Foundation; Centre Hospitalier Universitaire de Québec; Université Laval; Weston Family Foundation; Canadian Institutes of Health Research; Alliance de recherche numérique du Canada; Schlumberger Foundation","keywords":"Parkinson's disease; Immune system; Peripheral; Disease; Neuroscience; Medicine; Biology; Computational biology; Immunology; Pathology; Internal medicine","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":[0.0001734547,0.0001825421,0.0003454992,0.0006290753,0.0002157981,0.0003978915,0.0001368277,0.0002901932,0.001106979],"category_scores_gemma":[0.0004309986,0.0001014176,0.0002383398,0.0003343461,0.0001793552,0.0001030923,0.0002376822,0.000252223,0.0003394262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001136708,"about_ca_system_score_gemma":0.00008511316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007396967,"about_ca_topic_score_gemma":0.001157225,"domain_scores_codex":[0.9998581,0.00001600592,0.00001442904,0.00006246142,0.00002458042,0.00002436567],"domain_scores_gemma":[0.9998422,0.00004088515,0.00002788769,0.00001532445,0.00004897,0.00002477129],"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":[0.00169427,0.00006396501,0.2747268,0.0002035799,0.000174,0.001802558,0.0008720077,0.0004929041,0.6811367,0.0001636672,0.0006851429,0.03798448],"study_design_scores_gemma":[0.00003634211,0.000532979,0.9376094,0.00005075572,0.0001943883,0.004178784,0.0007726982,0.003897868,0.04791775,0.0005438859,0.004241641,0.00002362099],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948048,0.0007760446,0.002480983,0.00005255447,0.000009958226,0.00002868285,0.001242832,0.00004135865,0.0005627611],"genre_scores_gemma":[0.9937896,0.0003988935,0.003541742,0.0001148589,0.0000170687,0.00004790378,0.001424043,0.00002072532,0.0006452072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001106979,"threshold_uncertainty_score":0.003703237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01019354182105694,"score_gpt":0.1927494472688647,"score_spread":0.1825559054478078,"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."}}