{"id":"W2973950201","doi":"10.1016/j.jmr.2019.106638","title":"A fast MOSFET rf switch for low-field NMR and MRI","year":2019,"lang":"en","type":"article","venue":"Journal of Magnetic Resonance","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg; University of Manitoba","funders":"Centre National de la Recherche Scientifique","keywords":"RF switch; Capacitor; MOSFET; Amplifier; Radio frequency; Diode; Electromagnetic coil; Physics; Voltage; Materials science; Energy (signal processing); Pulse (music); Optoelectronics; Electrical engineering; Nuclear magnetic resonance; Transistor; CMOS; Engineering","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":[0.000133634,0.00007772919,0.0002240149,0.00004414245,0.00002612276,0.000009929253,0.00007710516,0.00005505657,0.00009134304],"category_scores_gemma":[0.00006188931,0.00006001443,0.00006729827,0.00007651776,0.00002243541,0.00005391588,0.00001960789,0.0001566227,0.000005350856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000166092,"about_ca_system_score_gemma":0.00004472066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002820476,"about_ca_topic_score_gemma":0.000001246264,"domain_scores_codex":[0.9993437,0.000004454249,0.0002714687,0.0001098283,0.0001382146,0.0001323444],"domain_scores_gemma":[0.9993505,0.0001039221,0.0001445465,0.0001703248,0.0001441467,0.00008660057],"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":[0.001010616,0.0002626999,0.008211954,0.0002549716,0.00001095325,0.00003410923,0.0002068147,0.00004936893,0.05054823,0.003851764,0.03979944,0.8957591],"study_design_scores_gemma":[0.003599582,0.004598908,0.02645463,0.0006609738,0.00007471954,0.0007101374,0.0001530744,0.002008338,0.01144756,0.005402655,0.9446972,0.0001922236],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8017901,0.02040819,0.1502839,0.01926664,0.0001701815,0.001722081,0.00001851811,0.00004433594,0.006296077],"genre_scores_gemma":[0.7283908,0.006436074,0.249974,0.002560332,0.0003918366,0.00005966794,0.000002003183,0.00004221609,0.01214303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9048977,"threshold_uncertainty_score":0.2447317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007819418805265484,"score_gpt":0.2847009805529745,"score_spread":0.276881561747709,"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."}}