{"id":"W4415489870","doi":"10.1007/s12311-025-01920-0","title":"Characterization of Perineuronal Nets in the Human Cerebellum","year":2025,"lang":"en","type":"article","venue":"The Cerebellum","topic":"Proteoglycans and glycosaminoglycans research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre; McGill University; Douglas Mental Health University Institute","funders":"","keywords":"Perineuronal net; Cerebellum; Deep cerebellar nuclei; Immunolabeling; Cerebellar cortex; Excitatory postsynaptic potential; Human brain; Neuroplasticity","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001096655,0.0001409747,0.0001692052,0.0006192576,0.0001680673,0.0002845863,0.000116147,0.0001388679,0.0005732701],"category_scores_gemma":[0.0001760215,0.000106987,0.0001159464,0.0002498099,0.0001636547,0.0001529653,0.0001661248,0.0001251433,0.0001930445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001219363,"about_ca_system_score_gemma":0.0001717711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003741832,"about_ca_topic_score_gemma":0.004043919,"domain_scores_codex":[0.9999582,0.000006303886,0.000004297951,0.00001504315,0.000008070102,0.000008094598],"domain_scores_gemma":[0.999907,0.00001529557,0.00002450606,0.000007272794,0.00001757944,0.00002830158],"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":[0.0007894282,0.00002687789,0.04525663,0.0001817242,0.00006585816,0.003023061,0.0003449067,0.0001874861,0.9362832,0.0004363842,0.0001521489,0.01325227],"study_design_scores_gemma":[0.00002980051,0.0003649456,0.8805603,0.00003910235,0.0001275249,0.0121502,0.0007680796,0.001884445,0.09851331,0.0004328845,0.005111058,0.00001840997],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924276,0.002992356,0.002132373,0.00003099816,0.0000115221,0.00002264157,0.0004195093,0.0000232856,0.001939754],"genre_scores_gemma":[0.9955354,0.001085094,0.00142224,0.00001774318,0.000007737705,0.00001143075,0.0003926877,0.000009697485,0.001518028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003741832,"threshold_uncertainty_score":0.00744009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01120413303100084,"score_gpt":0.2797784435539303,"score_spread":0.2685743105229295,"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."}}