{"id":"W3195759866","doi":"10.1007/7854_2021_250","title":"Understanding Sensitive Period Effects in Musical Training","year":2021,"lang":"en","type":"article","venue":"Current topics in behavioral neurosciences","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"International Laboratory for Brain, Music and Sound Research; Concordia University","funders":"","keywords":"Musical; Period (music); Context (archaeology); Psychology; Cognitive psychology; Function (biology); Cognition; New Interfaces for Musical Expression; Neuroscience; Developmental psychology; Biology; Evolutionary biology; Aesthetics; Musical composition; Art","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000243264,0.0002061663,0.0002544778,0.0002904654,0.0002384026,0.0002179392,0.000318416,0.00006566389,0.0000185784],"category_scores_gemma":[0.0006312477,0.0002031793,0.00007971463,0.001602425,0.0005232403,0.0005878598,0.0001759341,0.0005233743,0.000008663643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001840651,"about_ca_system_score_gemma":0.0001995857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000107169,"about_ca_topic_score_gemma":0.0001393986,"domain_scores_codex":[0.9971058,0.0003225798,0.0003275292,0.001039251,0.0005740242,0.0006308517],"domain_scores_gemma":[0.999394,0.0001492529,0.00007097206,0.000238528,0.00001844448,0.0001288092],"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":[0.000009539703,0.0006057889,0.01419715,0.00002347808,8.948049e-8,0.001581339,0.004315006,0.00007223775,0.9544551,0.0072276,0.00002469392,0.01748801],"study_design_scores_gemma":[0.003261927,0.0009295217,0.7958051,0.0008220113,0.00003306563,0.0008890391,0.008824727,0.00872935,0.1653503,0.008828066,0.004508262,0.002018615],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921056,0.0000102937,0.0004365261,0.0003557596,0.006366558,0.000228944,0.00000505963,0.0000529997,0.0004382837],"genre_scores_gemma":[0.9991581,0.00006954737,0.00005751165,0.0004614696,0.0001187284,0.0000211434,0.000001291802,0.00001013321,0.0001020233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7891048,"threshold_uncertainty_score":0.8285411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3744173538843861,"score_gpt":0.3982588612647849,"score_spread":0.02384150738039881,"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."}}