{"id":"W2113774394","doi":"10.1016/j.clinph.2004.04.011","title":"MRI compatible EEG electrode system for routine use in the epilepsy monitoring unit and intensive care unit","year":2004,"lang":"en","type":"article","venue":"Clinical Neurophysiology","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":61,"is_retracted":false,"has_abstract":false,"ca_institutions":"London Health Sciences Centre; Western University","funders":"","keywords":"Electroencephalography; Artifact (error); EEG-fMRI; Magnetic resonance imaging; Imaging phantom; Scanner; Epilepsy; Biomedical engineering; Neuroimaging; Functional magnetic resonance imaging; Medicine; Nuclear medicine; Computer science; Radiology; Psychology; Artificial intelligence; Neuroscience","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":[0.0005354367,0.000921488,0.000708785,0.0006364383,0.0003717304,0.0004135278,0.0009766551,0.001172064,0.01991855],"category_scores_gemma":[0.002574923,0.0002291317,0.0003758337,0.0003507392,0.0002215019,0.000506278,0.0002946887,0.0008613864,0.004566612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001230203,"about_ca_system_score_gemma":0.0005298046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005046074,"about_ca_topic_score_gemma":0.0007883064,"domain_scores_codex":[0.9996847,0.00007772708,0.00003667848,0.0001034944,0.00006894412,0.00002837966],"domain_scores_gemma":[0.998942,0.000227296,0.0001003912,0.0001533714,0.000420833,0.0001561305],"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":[0.006001781,0.0007740612,0.02256582,0.001246916,0.0001850388,0.01058105,0.000314887,0.0002154243,0.55124,0.001121373,0.03460627,0.3711475],"study_design_scores_gemma":[0.00271827,0.01976538,0.1984166,0.001030962,0.001879554,0.09583927,0.0004546178,0.006242559,0.4633574,0.003196219,0.2067959,0.0003034267],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4767924,0.01814007,0.3996779,0.008446632,0.009064868,0.003724757,0.01146248,0.01103294,0.06165809],"genre_scores_gemma":[0.7533602,0.005850396,0.1892586,0.008528876,0.003068089,0.001834108,0.003947895,0.0008618378,0.03328991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01991855,"threshold_uncertainty_score":0.06663424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.115167800397447,"score_gpt":0.4195311732934048,"score_spread":0.3043633728959578,"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."}}