{"id":"W3198645268","doi":"10.1109/tbcas.2021.3111784","title":"A Versatile FG-MOSFET Inverter Design for X-Ray Radiation Dosimetry Applications","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Circuits and Systems","topic":"Radiation Effects in Electronics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University; Ontario Tech University; Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dosimetry; MOSFET; Dosimeter; Inverter; Materials science; Transistor; Electrical engineering; Radiation; Electronic engineering; Optoelectronics; Voltage; Engineering; Physics; Optics; Nuclear medicine; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002743884,0.0001606162,0.0002218891,0.000163438,0.000170726,0.00007658677,0.00008573238,0.0002010095,0.00003354622],"category_scores_gemma":[0.00001155629,0.00016268,0.00007131678,0.0004251612,0.00005118947,0.0001060504,4.24226e-7,0.00018811,0.00002703932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001685338,"about_ca_system_score_gemma":0.00008070323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005958372,"about_ca_topic_score_gemma":0.000002430358,"domain_scores_codex":[0.9988359,0.00008271579,0.0003033417,0.0002641862,0.0002377584,0.0002761635],"domain_scores_gemma":[0.999087,0.0004268619,0.00003405573,0.0002284719,0.0000473531,0.0001762853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001251259,0.0002249711,0.000003543602,0.0005659766,0.0003750036,0.000005285054,0.0004414748,0.5618572,0.02326448,0.0005625323,0.005829389,0.4068576],"study_design_scores_gemma":[0.0009690577,0.000128123,0.00002393772,0.00004005573,0.00007581524,0.00002780448,0.00007203549,0.9478162,0.008256,0.00006473408,0.04228534,0.0002408804],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00203496,0.001090975,0.9943036,0.00007208655,0.001214431,0.0008167531,0.0001157615,0.0002189009,0.0001325352],"genre_scores_gemma":[0.9982562,0.0001722002,0.0002348786,0.00008725664,0.0001896169,0.000817648,0.00003725007,0.00003935913,0.000165575],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9962212,"threshold_uncertainty_score":0.6633897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01496174235965459,"score_gpt":0.2286109219480006,"score_spread":0.213649179588346,"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."}}