{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004066357,0.0002002268,0.0001314109,0.0007271081,0.0002318745,0.0006213869,0.0002296582,0.0004895787,0.003873635],"category_scores_gemma":[0.00809331,0.0002057969,0.000143729,0.0007224483,0.0003038707,0.0007254456,0.0002786894,0.0003559194,0.0005633284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001405711,"about_ca_system_score_gemma":0.0001771413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007690837,"about_ca_topic_score_gemma":0.001284284,"domain_scores_codex":[0.9998049,0.00007484364,0.00001059518,0.00004666025,0.00003749933,0.00002539549],"domain_scores_gemma":[0.9983089,0.001200788,0.0001684959,0.0001097403,0.0001621375,0.00005001405],"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":[0.002270197,0.0001543032,0.04846545,0.0003871561,0.0001707052,0.001731032,0.0008581973,0.003395159,0.8402885,0.005945804,0.0014159,0.09491777],"study_design_scores_gemma":[0.00009302674,0.000369269,0.9052581,0.00003945677,0.00009722657,0.006289354,0.0003335227,0.009000336,0.06679994,0.00997418,0.001713304,0.0000323084],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9496977,0.001375873,0.03245549,0.0003407947,0.00006260939,0.0001252888,0.00078995,0.0001823415,0.01496999],"genre_scores_gemma":[0.9963872,0.0001854971,0.00231676,0.0000558263,0.0000463676,0.00003423767,0.0001437005,0.00003312239,0.0007972074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003873635,"threshold_uncertainty_score":0.01295865,"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."}}