{"id":"W4417076207","doi":"10.1186/s13024-025-00914-0","title":"Diagnostic biomarkers for α-synucleinopathies- state of the art and future developments: a systematic review","year":2025,"lang":"en","type":"article","venue":"Molecular Neurodegeneration","topic":"Parkinson's Disease Mechanisms and Treatments","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Brain Institute; Occupational Cancer Research Centre; University of Toronto; University Health Network","funders":"National Institutes of Health; Krembil Foundation; Ministero della Salute","keywords":"Biomarker; Pathological; Biomarker discovery; Diagnostic test; Clinical diagnosis; MEDLINE; Diagnostic biomarker; Neurology","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":[0.0001272559,0.0001165175,0.0002756009,0.00005235254,0.00006978836,0.00001318971,0.00004704565,0.00002354742,0.00000176084],"category_scores_gemma":[0.0003209472,0.00007731777,0.00008515072,0.0001821037,0.00001674075,0.00002636491,0.00002610411,0.00003145714,0.000001608752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002652319,"about_ca_system_score_gemma":0.00007757456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001065166,"about_ca_topic_score_gemma":0.000001886793,"domain_scores_codex":[0.9992074,0.00009492801,0.0002629559,0.0001945035,0.0001459687,0.00009420428],"domain_scores_gemma":[0.9994744,0.00004163881,0.0001033126,0.0002495306,0.00009291984,0.00003821437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002963151,0.0008319754,0.003014102,0.626173,0.002302946,0.0001856491,0.0001798136,0.00003791376,0.3375005,0.006306293,0.005369846,0.01780174],"study_design_scores_gemma":[0.005906968,0.0005610728,0.0482671,0.1092879,0.009809128,0.00009876266,0.00003282462,0.001899646,0.8142421,0.001130262,0.008212267,0.0005520721],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.903389,0.06496155,0.01506378,0.006203272,0.0006126799,0.009366704,0.00007589928,0.00005266424,0.0002744123],"genre_scores_gemma":[0.9850827,0.005095357,0.002214813,0.006208236,0.00002197527,0.0008230949,0.00009003899,0.00002976833,0.0004340397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5168851,"threshold_uncertainty_score":0.3152927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005952621520583597,"score_gpt":0.2346847370895132,"score_spread":0.2287321155689296,"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."}}