{"id":"W4406558600","doi":"10.1038/s42003-025-07520-2","title":"Perineuronal nets in motor circuitry regulate the performance of learned vocalizations in songbirds","year":2025,"lang":"en","type":"article","venue":"Communications Biology","topic":"Animal Vocal Communication and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; Centre for Research on Brain Language and Music; McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Government of Canada; Centre for Research on Brain, Language and Music","keywords":"Perineuronal net; Neuroscience; Psychology; Computer science; Communication; Neuroplasticity","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":[0.0002399938,0.00008198884,0.0001194626,0.0001009524,0.0001017924,0.000005667303,0.001088793,0.0001237515,0.00001583852],"category_scores_gemma":[0.0001077638,0.00006923028,0.0000433898,0.000325396,0.0004240379,0.000003737199,0.0005839924,0.0001960639,0.000003665907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001714233,"about_ca_system_score_gemma":0.0001030721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007965233,"about_ca_topic_score_gemma":0.0006883771,"domain_scores_codex":[0.9990823,0.0003052977,0.0003053748,0.0001476631,0.00002930161,0.0001300234],"domain_scores_gemma":[0.9983904,0.00006226957,0.00007170263,0.001389772,0.00007019832,0.00001562745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008943964,0.0003960485,0.5747167,0.00001672475,0.00001944785,1.400455e-7,0.0001242489,0.0001511733,0.3848606,0.02575822,0.000284174,0.01358312],"study_design_scores_gemma":[0.0006866375,0.0002330243,0.8854952,0.00004529224,0.00001238329,0.000003800955,0.0002031686,0.005185764,0.009160693,0.000457543,0.09835242,0.0001640309],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910775,0.001631521,0.000182554,0.003772482,0.00003359013,0.0002007888,0.00001155549,0.000008408729,0.003081558],"genre_scores_gemma":[0.9966543,0.001951532,0.000306352,0.0004319873,0.000005093054,0.00007906252,0.0001567622,0.000006490306,0.0004084496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3756999,"threshold_uncertainty_score":0.2823129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03618034318925747,"score_gpt":0.3414082681629374,"score_spread":0.30522792497368,"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."}}