{"id":"W2022103098","doi":"10.1002/1522-2586(200007)12:1<46::aid-jmri6>3.0.co;2-d","title":"Sensitivity and Power Deposition in a High-Field Imaging Experiment","year":2000,"lang":"en","type":"review","venue":"Journal of Magnetic Resonance Imaging","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":466,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Institute for Biodiagnostics","funders":"","keywords":"Physics; Field (mathematics); Computational physics; Dielectric; Sensitivity (control systems); SIGNAL (programming language); Power (physics); Noise (video); Homogeneous; Excitation; Electromagnetic field; Optics; Dissipation; Boundary value problem; Nuclear magnetic resonance; Statistical physics; Image (mathematics); Computer science; Mathematics; Optoelectronics; Quantum mechanics","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":[],"consensus_categories":[],"category_scores_codex":[0.000318518,0.0002559937,0.001042973,0.0002905873,0.00004316852,0.00003607468,0.00007124908,0.00006988143,0.00005515246],"category_scores_gemma":[0.00004564612,0.0002112926,0.0001917137,0.0002036467,0.00005946678,0.0001349433,0.00004250787,0.0006095256,0.000002421891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001550008,"about_ca_system_score_gemma":0.0001286808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003048556,"about_ca_topic_score_gemma":0.000001821733,"domain_scores_codex":[0.9984184,0.0000809258,0.0007790063,0.0002487235,0.0002371702,0.0002357799],"domain_scores_gemma":[0.9990213,0.0001564105,0.0004027696,0.000234341,0.00007587417,0.0001093319],"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":[0.00002362486,0.00006831219,0.0001101849,0.0003595453,0.000002234407,0.0006903523,0.00003547588,5.141065e-7,0.00006811502,0.00002887988,0.0003254625,0.9982873],"study_design_scores_gemma":[0.0006819293,0.0001750386,0.0005475724,0.02675703,0.0002619999,0.008125504,0.00004837005,0.0001123386,0.0001252497,0.0001413032,0.9627588,0.0002648748],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002283027,0.9950765,0.003055579,0.0006009712,0.0000481684,0.0004495354,0.000003937028,0.00001763021,0.0005193732],"genre_scores_gemma":[0.001526511,0.9738571,0.02410478,0.0002657478,0.0001267687,0.00003011283,0.000003030852,0.00003694499,0.00004900834],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9980224,"threshold_uncertainty_score":0.8616263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01357267955802604,"score_gpt":0.3375986228779669,"score_spread":0.3240259433199409,"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."}}