{"id":"W4411116761","doi":"10.1101/2025.06.03.657690","title":"Stochastic Misfolding Drives the Emergence of Distinct α-Synuclein Strains","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Parkinson's Disease Mechanisms and Treatments","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Occupational Cancer Research Centre; University of Toronto","funders":"Canadian Institutes of Health Research; Parkinson Canada; Mitacs; Croucher Foundation","keywords":"Stochastic dynamics; Statistical physics; Biology; Computational biology; Physics","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":[0.0003350101,0.0001691983,0.00017042,0.000115027,0.0001223365,0.0003357105,0.0001433736,0.0002293855,0.0002815843],"category_scores_gemma":[0.0002772726,0.0001599002,0.0002042251,0.00007793774,0.0002319187,0.0001957745,0.0002751962,0.0005008605,0.0001369322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000234384,"about_ca_system_score_gemma":0.00008859847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002231526,"about_ca_topic_score_gemma":0.0003485502,"domain_scores_codex":[0.9998022,0.00003674367,0.00002322751,0.00005350187,0.00005345902,0.00003082849],"domain_scores_gemma":[0.999574,0.00008750591,0.0001560546,0.00007976947,0.00004971369,0.00005289341],"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":[0.00003192237,0.000009688581,0.0007016298,0.00001008371,0.000005961913,0.00003450762,0.00001227785,0.0001297628,0.998538,0.0001081895,0.00001679242,0.000401096],"study_design_scores_gemma":[0.00001156283,0.0002726846,0.02870459,0.00001246844,0.00001891821,0.0005236186,0.00007691225,0.008768001,0.9602259,0.000451146,0.0009224942,0.0000118001],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948283,0.0002043613,0.004544244,0.00002612298,0.000008006023,0.00001400205,0.00007801751,0.0000278041,0.0002690992],"genre_scores_gemma":[0.9982312,0.00009659531,0.001292104,0.00002914297,0.000003733154,0.00001075751,0.00009098728,0.00001126511,0.0002341667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0003357105,"threshold_uncertainty_score":0.001771688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01837336957481854,"score_gpt":0.2526413890769338,"score_spread":0.2342680195021153,"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."}}