{"id":"W3120678096","doi":"10.1038/s41598-020-79922-7","title":"FMRI-based identity classification accuracy in left temporal and frontal regions predicts speaker recognition performance","year":2021,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Agence Nationale de la Recherche","keywords":"Superior temporal sulcus; Voxel; Superior temporal gyrus; Psychology; Neuroimaging; Neural correlates of consciousness; Temporal lobe; Gyrus; Inferior frontal gyrus; Task (project management); Middle temporal gyrus; Correlation; Cognitive psychology; Audiology; Speech recognition; Functional magnetic resonance imaging; Computer science; Artificial intelligence; Neuroscience; Cognition; 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":[0.0004878308,0.0001971566,0.0001718527,0.0003191753,0.00008852888,0.0003261331,0.00009587861,0.000322249,0.001523028],"category_scores_gemma":[0.002500054,0.00008474588,0.0001206793,0.0001166011,0.0001885008,0.0002249948,0.0001473888,0.0001683205,0.0003640965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007294756,"about_ca_system_score_gemma":0.00006476806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006418568,"about_ca_topic_score_gemma":0.001324993,"domain_scores_codex":[0.9997906,0.00005129012,0.00001679079,0.00007205657,0.00004151668,0.00002782165],"domain_scores_gemma":[0.9986547,0.0007402459,0.0003400053,0.00009519909,0.0000909739,0.00007889632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001551377,0.000158624,0.6606838,0.00005669005,0.0002324509,0.0001916463,0.00063643,0.0009179208,0.3066978,0.0001040068,0.0001877566,0.02858148],"study_design_scores_gemma":[0.000003792511,0.0001090922,0.9936789,0.000001582929,0.00001726461,0.0002161326,0.00006087673,0.001300775,0.004511316,0.00005703627,0.00003967256,0.000003641265],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988857,0.00004155556,0.0006061442,0.00001253224,0.00000250973,0.000004053902,0.00007161952,0.000009705895,0.0003662088],"genre_scores_gemma":[0.9994838,0.00001712281,0.000261042,0.000005391426,0.000003972622,0.000003426274,0.00007552978,0.000004585648,0.0001451296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001523028,"threshold_uncertainty_score":0.005095005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07892466535037562,"score_gpt":0.2978212891488087,"score_spread":0.2188966237984331,"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."}}