{"id":"W3120810126","doi":"10.1016/j.neuroimage.2021.117759","title":"Arcuate fasciculus architecture is associated with individual differences in pre-attentive detection of unpredicted music changes","year":2021,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; International Laboratory for Brain, Music and Sound Research; Centre for Research on Brain Language and Music","funders":"European Regional Development Fund","keywords":"Arcuate fasciculus; Mismatch negativity; Psychology; Electroencephalography; Neuroscience; White matter; Auditory cortex; Tractography; Magnetic resonance imaging; Medicine","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":[0.0001302902,0.0002466591,0.0001847155,0.0006370543,0.0001461349,0.0002096005,0.00009929825,0.0002612,0.001848241],"category_scores_gemma":[0.0006722686,0.0001339414,0.0001133714,0.0002154065,0.0002821842,0.0001790766,0.0002216276,0.0001703345,0.0001699268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001046506,"about_ca_system_score_gemma":0.00005511329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009310144,"about_ca_topic_score_gemma":0.001637712,"domain_scores_codex":[0.9999104,0.000008955357,0.00001042227,0.00004270305,0.00001048708,0.00001716303],"domain_scores_gemma":[0.9995465,0.00009099662,0.0002279516,0.00003420016,0.00002982055,0.00007062926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002685311,0.000206502,0.821968,0.00006173599,0.0002499623,0.001698797,0.0006858979,0.0003119059,0.1513513,0.0001962445,0.0001990032,0.02038527],"study_design_scores_gemma":[0.000003653289,0.00008676959,0.9982768,9.898536e-7,0.00001188081,0.0006313982,0.00003811181,0.0001059648,0.0007499623,0.00004010576,0.00005242119,0.000001909904],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995382,0.0000670045,0.0001598901,0.00001135705,0.000002417723,0.000004077424,0.00005237347,0.000004878209,0.0001598888],"genre_scores_gemma":[0.9995317,0.00002583119,0.0001347555,0.000007437709,0.000004095883,0.000004743073,0.00005947203,0.000003052272,0.0002289284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001848241,"threshold_uncertainty_score":0.006183028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0474389737275175,"score_gpt":0.2513702022039866,"score_spread":0.2039312284764691,"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."}}