{"id":"W2158633380","doi":"10.1002/mrm.24911","title":"Nineteen-channel receive array and four-channel transmit array coil for cervical spinal cord imaging at 7T","year":2013,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of Neurological Disorders and Stroke; National Institutes of Health; National Multiple Sclerosis Society","keywords":"Radiofrequency coil; Spinal cord; Electromagnetic coil; Phased array; Signal-to-noise ratio (imaging); Channel (broadcasting); Magnetic resonance imaging; Medicine; Biomedical engineering; Optics; Physics; Computer science; Telecommunications; Radiology; Antenna (radio)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002863145,0.0003267912,0.0006446266,0.0001614946,0.0001305751,0.00001198997,0.0001679304,0.0001270663,0.0003792018],"category_scores_gemma":[0.0001665543,0.0002637506,0.00007134351,0.0003164065,0.000474519,0.00009021893,0.00003177075,0.0003450923,0.00001918077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001084756,"about_ca_system_score_gemma":0.00003408293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002501537,"about_ca_topic_score_gemma":0.00004779689,"domain_scores_codex":[0.9978279,0.00002938854,0.0006024545,0.0006398718,0.0003272539,0.0005731696],"domain_scores_gemma":[0.9987669,0.0001872707,0.0001208027,0.0004389333,0.0001929392,0.0002931449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002881989,0.0003467964,0.006390342,0.0007351224,0.00001443749,0.00009754606,0.001149517,0.00001909963,0.08942477,0.001000012,0.03650039,0.86144],"study_design_scores_gemma":[0.02083576,0.0145426,0.314024,0.00550644,0.0003781162,0.001285586,0.002063386,0.01370028,0.01125797,0.06116879,0.5536216,0.001615452],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2039281,0.08122309,0.4941945,0.1898499,0.0005966657,0.01256218,0.00009066205,0.0006621848,0.01689272],"genre_scores_gemma":[0.9225678,0.005500704,0.05777276,0.005008022,0.0008369033,0.002730305,0.0000683289,0.0001145463,0.005400598],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8598245,"threshold_uncertainty_score":0.9999815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02978531891583976,"score_gpt":0.3116505944542931,"score_spread":0.2818652755384533,"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."}}