{"id":"W4285293369","doi":"10.1109/lemcpa.2022.3180974","title":"RF Heating Dependence of Head Model Positioning Using 4-Channel Parallel Transmission MRI and a Deep Brain Stimulation Construct","year":2022,"lang":"en","type":"article","venue":"IEEE Letters on Electromagnetic Compatibility Practice and Applications","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; McMaster University; Sunnybrook Health Science Centre","funders":"Canadian Institutes of Health Research","keywords":"Deep brain stimulation; Imaging phantom; Magnetic resonance imaging; Rotation (mathematics); Sensitivity (control systems); Computer science; Radio frequency; Channel (broadcasting); Biomedical engineering; Materials science; Simulation; Physics; Nuclear magnetic resonance; Nuclear medicine; Medicine; Electronic engineering; Radiology; Telecommunications; Artificial intelligence","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":[0.0002990547,0.0001586282,0.0002484073,0.000100317,0.0005737651,0.0000197262,0.00009376355,0.00004154779,0.00001125403],"category_scores_gemma":[0.00004385129,0.0001751412,0.00004591716,0.0002856282,0.0001276039,0.0001485042,0.0000435724,0.0003745632,2.605303e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009499055,"about_ca_system_score_gemma":0.00006195874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001124702,"about_ca_topic_score_gemma":0.000005507233,"domain_scores_codex":[0.9985932,0.00008150934,0.0003945192,0.0004556414,0.0002673793,0.0002078075],"domain_scores_gemma":[0.9986555,0.0005042746,0.0002428505,0.0004154596,0.00007989202,0.0001020258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003496116,0.000541306,0.0002727613,0.00009328734,0.00001926071,0.000002407404,0.0005042703,0.218455,0.7596129,0.002590626,0.00005431828,0.01750425],"study_design_scores_gemma":[0.001083668,0.0008388445,0.0009646963,0.00005472286,0.0001926397,0.000339515,0.0003481554,0.9819971,0.004745595,0.008952605,0.0002521597,0.0002303172],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4352567,0.000166636,0.5562689,0.007233139,0.000003213019,0.0009394558,0.00001163744,0.00004696955,0.00007325404],"genre_scores_gemma":[0.781193,0.00005419565,0.2162288,0.002153545,0.00002011653,0.0002993818,0.00002951937,0.00001534546,0.000006106736],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7635421,"threshold_uncertainty_score":0.7142051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02360016696239654,"score_gpt":0.3286965738211867,"score_spread":0.3050964068587901,"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."}}