{"id":"W2460072959","doi":"10.3174/ajnr.a4865","title":"Optimized, Minimal Specific Absorption Rate MRI for High-Resolution Imaging in Patients with Implanted Deep Brain Stimulation Electrodes","year":2016,"lang":"en","type":"article","venue":"American Journal of Neuroradiology","topic":"Neurological disorders and treatments","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Aging; National Institutes of Health; School of Medicine, New York University; National Institute of Biomedical Imaging and Bioengineering; York University; Center for Advanced Imaging Innovation and Research","keywords":"Medicine; Deep brain stimulation; Nuclear medicine; High resolution; Stimulation; Absorption (acoustics); Biomedical engineering; Radiology; Pathology; Internal medicine; Optics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001614098,0.0003879542,0.0002113479,0.0004718625,0.0001752244,0.000382947,0.0003963055,0.0005596536,0.000613817],"category_scores_gemma":[0.003201588,0.0002399148,0.0001257973,0.0002093357,0.0002973662,0.000503324,0.0002690779,0.0003846379,0.0001811156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003596871,"about_ca_system_score_gemma":0.0004712386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002140544,"about_ca_topic_score_gemma":0.000666913,"domain_scores_codex":[0.9996582,0.0001771717,0.00005283883,0.00004119804,0.00004723527,0.00002338726],"domain_scores_gemma":[0.9991797,0.0003012698,0.0002321266,0.00009121053,0.0001344651,0.00006116243],"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":[0.004691255,0.001433703,0.1534347,0.0009525763,0.0001436433,0.008356966,0.001230949,0.01134229,0.6753443,0.0004593531,0.001420216,0.1411901],"study_design_scores_gemma":[0.001945869,0.02472949,0.5465885,0.000346712,0.0004486102,0.06728238,0.0009450387,0.03131907,0.3123082,0.001302288,0.01259328,0.0001904286],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9778472,0.0007492692,0.01937867,0.0002931107,0.00001293868,0.0003599687,0.00003421304,0.0000727525,0.00125198],"genre_scores_gemma":[0.9559855,0.0003802003,0.0429021,0.0001731513,0.00003473057,0.0002238231,0.00008237282,0.00003885751,0.000179236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001614098,"threshold_uncertainty_score":0.00853622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007899441978921184,"score_gpt":0.2397995284313325,"score_spread":0.2319000864524113,"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."}}