{"id":"W2124781032","doi":"10.1016/j.neuroimage.2012.09.034","title":"Characterization of the blood-oxygen level-dependent (BOLD) response in cat auditory cortex using high-field fMRI","year":2012,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; University College London; Canada Foundation for Innovation","keywords":"Auditory cortex; Neuroscience; Blood-oxygen-level dependent; Visual cortex; Stimulus (psychology); Functional magnetic resonance imaging; Psychology; Temporal cortex; Brain activity and meditation; Electrophysiology; Haemodynamic response; Audiology; Medicine; Electroencephalography; Cognitive psychology; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000174467,0.0001538916,0.000107885,0.0003612429,0.00021521,0.0003057203,0.0001878357,0.0004176302,0.0009321643],"category_scores_gemma":[0.0004574681,0.0002075797,0.000132396,0.0001578915,0.0002772778,0.0003720917,0.0001611109,0.0003220402,0.0001525032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001557484,"about_ca_system_score_gemma":0.0002436755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00206756,"about_ca_topic_score_gemma":0.004040855,"domain_scores_codex":[0.9999684,0.00000569922,0.000001323338,0.000009072653,0.000006482646,0.000009081517],"domain_scores_gemma":[0.999828,0.00007474935,0.00002094322,0.00001523847,0.00002996847,0.0000311506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001459343,0.00001989849,0.001699998,0.00004181423,0.000007850947,0.00005479874,0.00003512987,0.0001475392,0.9944314,0.000142224,0.00004735395,0.003226079],"study_design_scores_gemma":[0.00005836947,0.0005968638,0.4370107,0.00002503342,0.0001328479,0.001769225,0.0002780348,0.01815813,0.5390208,0.001451883,0.001453639,0.00004444307],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817513,0.000395728,0.01615167,0.0001639878,0.000009451403,0.00003610187,0.0001683578,0.00005316457,0.001270248],"genre_scores_gemma":[0.9915435,0.0003227208,0.006495405,0.00008437186,0.00001542748,0.00004346269,0.0001399736,0.00002040319,0.001334759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00206756,"threshold_uncertainty_score":0.004111052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04280136698484822,"score_gpt":0.2594695704574179,"score_spread":0.2166682034725697,"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."}}