{"id":"W295829900","doi":"10.1016/j.jmr.2015.05.001","title":"An improved shielded RF transmit coil for low-frequency NMR and MRI","year":2015,"lang":"en","type":"article","venue":"Journal of Magnetic Resonance","topic":"Advanced NMR Techniques and Applications","field":"Chemistry","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University; University of Winnipeg","funders":"Fondation Pierre-Gilles de Gennes pour la recherche; Agence Nationale de la Recherche","keywords":"Shielded cable; Electromagnetic coil; Radiofrequency coil; Field (mathematics); Nuclear magnetic resonance; Radio frequency; Computation; Electromagnetic shielding; Volume (thermodynamics); Materials science; Physics; Computational physics; Optics; Acoustics; Computer science; Telecommunications; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006448,0.0007925078,0.0007044724,0.0003430887,0.0003277696,0.0004646717,0.001203696,0.0009117933,0.003962968],"category_scores_gemma":[0.0008618068,0.0004796503,0.0003764164,0.0004232069,0.0003370524,0.001034618,0.0005507854,0.0007573922,0.002269842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002788784,"about_ca_system_score_gemma":0.0005827192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002190814,"about_ca_topic_score_gemma":0.0006969875,"domain_scores_codex":[0.9996744,0.0000755004,0.00002004912,0.00006400722,0.0001413757,0.00002466113],"domain_scores_gemma":[0.9995049,0.0001168321,0.00005567922,0.0001127604,0.000160259,0.00004955666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005515866,0.00007940056,0.0002871807,0.0003099889,0.0000392365,0.0002656626,0.00006421743,0.00203915,0.9273843,0.005089175,0.004324722,0.05956544],"study_design_scores_gemma":[0.000143499,0.001170624,0.001341222,0.00005829899,0.000290612,0.005095154,0.00003491186,0.05109292,0.8318532,0.00195532,0.10686,0.0001042474],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02204574,0.001213157,0.9698921,0.0004474811,0.0003719362,0.0001396361,0.000181888,0.001817717,0.00389031],"genre_scores_gemma":[0.09966474,0.000949232,0.8902231,0.0007110402,0.0002909146,0.0001880903,0.000472976,0.0004086045,0.007091299],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003962968,"threshold_uncertainty_score":0.01325744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01538984685327194,"score_gpt":0.2810924033421251,"score_spread":0.2657025564888532,"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."}}