{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008673548,0.0001259204,0.0003822131,0.00004225842,0.00008901233,0.000008392387,0.0001252571,0.0001044877,6.595718e-7],"category_scores_gemma":[0.0004088485,0.00008798255,0.0000789535,0.0001718703,0.0001699408,0.00003466239,0.00005585827,0.0004228081,0.000004749348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002265611,"about_ca_system_score_gemma":0.00003753009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004155923,"about_ca_topic_score_gemma":0.000006840976,"domain_scores_codex":[0.998891,0.00009817706,0.0004018384,0.0003288043,0.00005255461,0.0002276516],"domain_scores_gemma":[0.998358,0.0007887152,0.0001013326,0.0003766558,0.000306628,0.00006865063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006319473,0.001875688,0.5214574,0.001483541,0.0001617641,0.0005775054,0.00296191,0.008715495,0.2915688,0.146164,0.000738655,0.01797576],"study_design_scores_gemma":[0.006279696,0.006385535,0.9632356,0.0004326857,0.0001907017,0.0001582769,0.005553188,0.0008100012,0.005213334,0.004277521,0.007106418,0.0003570975],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990137,0.00006742682,0.007360231,0.001330503,0.0001057081,0.0008711845,0.00001322128,0.00008414687,0.00003053885],"genre_scores_gemma":[0.991371,0.0002184958,0.006578127,0.001413905,0.0002087489,0.0001343035,0.00003623041,0.00002166585,0.00001753053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4417782,"threshold_uncertainty_score":0.3587824,"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."}}