{"id":"W1979098869","doi":"10.1002/jmri.20872","title":"MR compatibility of EEG scalp electrodes at 4 tesla","year":2007,"lang":"en","type":"article","venue":"Journal of Magnetic Resonance Imaging","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"Robarts Research Institute; Natural Sciences and Engineering Research Council of Canada","keywords":"Electrode; Materials science; Electromagnetic shielding; Shim (computing); Imaging phantom; Biomedical engineering; Nuclear magnetic resonance; Optics; Physics; Composite material; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006589602,0.0001032582,0.0003221995,0.0001091349,0.00005069825,0.000005634133,0.0001265575,0.00002925915,0.0001073274],"category_scores_gemma":[0.0001407586,0.00008396623,0.0001226269,0.0002190769,0.0001557871,0.00007960737,0.00003797095,0.0002381828,0.000002374993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00012248,"about_ca_system_score_gemma":0.00006081248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001020291,"about_ca_topic_score_gemma":0.000004135366,"domain_scores_codex":[0.9986553,0.00001577665,0.0006549438,0.0001298528,0.0003116648,0.0002324969],"domain_scores_gemma":[0.9987738,0.0001302917,0.0003835675,0.0002595244,0.0003429133,0.0001099441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003897496,0.0002613642,0.1521007,0.00005249041,0.000003533338,0.00007614031,0.00009846509,0.000009482662,0.3301587,0.0004069076,0.003754315,0.5126882],"study_design_scores_gemma":[0.001306937,0.0005776219,0.7662277,0.0003688495,0.00007258969,0.001238649,0.00009734916,0.0006870471,0.1489007,0.00216524,0.0782161,0.0001411749],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.906078,0.02397633,0.06282271,0.001770342,0.00004725125,0.0002849463,0.000004036246,0.00003013923,0.004986234],"genre_scores_gemma":[0.8741196,0.0004270863,0.1246354,0.0002205255,0.00008674429,0.000001881724,9.243385e-7,0.00001374167,0.0004941821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.614127,"threshold_uncertainty_score":0.3424044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01122445832167411,"score_gpt":0.3169502292358375,"score_spread":0.3057257709141634,"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."}}