{"id":"W2146945062","doi":"10.1007/s10548-008-0069-y","title":"Correspondence of Visual Evoked Potentials with FMRI Signals in Human Visual Cortex","year":2008,"lang":"en","type":"article","venue":"Brain Topography","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"Capital District Health Authority; Izaak Walton Killam Health Centre; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Functional magnetic resonance imaging; Electroencephalography; EEG-fMRI; Visual cortex; Psychology; Neuroscience; Neuroimaging; Brain mapping; Visual perception; Perception","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004254331,0.000272322,0.0004525263,0.0007788981,0.0003288898,0.00002269594,0.0002985842,0.0000874009,0.0001826453],"category_scores_gemma":[0.00221227,0.0002476448,0.0001730997,0.001874426,0.0009379834,0.0002790967,0.000117136,0.0002266573,0.00001969707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002754986,"about_ca_system_score_gemma":0.00008661158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001272706,"about_ca_topic_score_gemma":0.0001103966,"domain_scores_codex":[0.9972509,0.0003773497,0.0004385779,0.000735895,0.0007652419,0.0004320425],"domain_scores_gemma":[0.9953521,0.00394112,0.000235899,0.0002688964,0.000109325,0.00009266764],"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":[0.0005131972,0.0007566899,0.05521734,0.00003302546,0.00003450903,0.0002524969,0.0006399812,0.0001822176,0.9368163,0.0009689607,0.004174297,0.0004110208],"study_design_scores_gemma":[0.002329172,0.002550042,0.5950378,0.0001323549,0.00002200078,0.000169213,0.0003618138,0.0002820463,0.3953142,0.001646062,0.001498633,0.0006566351],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963542,0.0000938151,0.0004164027,0.0008799342,0.0001639089,0.0004348025,0.000015359,0.00009745406,0.001544145],"genre_scores_gemma":[0.9972414,0.00002321143,0.00008450144,0.00188196,0.00006456282,0.00005085689,0.00000300488,0.00002912198,0.000621315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5415021,"threshold_uncertainty_score":0.9999976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02682142628448336,"score_gpt":0.2906657718048895,"score_spread":0.2638443455204061,"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."}}