{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009163212,0.000113788,0.0001091021,0.00002922534,0.00008074456,0.00001961387,0.0001685964,0.00005144296,0.00001127368],"category_scores_gemma":[0.00003820894,0.00007914352,0.00006945286,0.0001094372,0.00006757876,0.000002914991,0.00004181415,0.0000621984,6.658347e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000016283,"about_ca_system_score_gemma":0.00009945506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002805466,"about_ca_topic_score_gemma":0.00002444328,"domain_scores_codex":[0.9993423,0.00004950568,0.0001633599,0.0001948171,0.00009143809,0.0001586314],"domain_scores_gemma":[0.9995553,0.0000184513,0.00006157251,0.0002671419,0.00005983382,0.00003764695],"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":[0.0004070853,0.0002207889,0.2869549,0.0001087503,0.00006818497,0.0000023134,0.0003260734,0.0002465493,0.7073502,0.00004242397,0.001377686,0.002895053],"study_design_scores_gemma":[0.007170408,0.0008238049,0.5645741,0.0003792214,0.0001071074,0.000001951357,0.001161763,0.001136449,0.266791,0.0001516092,0.1568706,0.0008321174],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944932,0.0007747079,0.002082094,0.0003060017,0.0001119512,0.0001743878,0.00001915738,0.000008925401,0.002029536],"genre_scores_gemma":[0.9979024,0.00001193088,0.0002641212,0.0005264052,0.00004627862,0.000009794397,0.00008562773,0.00001317597,0.0011403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4405592,"threshold_uncertainty_score":0.3227379,"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."}}