{"id":"W4403118352","doi":"10.1016/j.nima.2024.169935","title":"Evaluation of DSRD-based pulsers for a Dielectric Wall Accelerator","year":2024,"lang":"en","type":"article","venue":"Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment","topic":"Pulsed Power Technology Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Dielectric; Physics; Electrical engineering; Atomic physics; Engineering","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":[0.00367193,0.0002191226,0.0003031322,0.0006993141,0.0001869458,0.000165157,0.0001547721,0.0002261903,0.00004375473],"category_scores_gemma":[0.0001688807,0.0002245318,0.00007839562,0.001633011,0.0001228435,0.000226902,0.00005626766,0.0006104021,0.000001069471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001119983,"about_ca_system_score_gemma":0.000101612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003857221,"about_ca_topic_score_gemma":0.00001970104,"domain_scores_codex":[0.9977105,0.0003711453,0.000376408,0.0004296923,0.0005954107,0.0005167956],"domain_scores_gemma":[0.9991543,0.0002776742,0.0000555262,0.0001931931,0.0002162321,0.0001030243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004185888,0.0001737235,0.000336287,0.0002010231,0.0004305346,7.963493e-7,0.0004710282,0.000265847,0.4646689,0.00099421,0.0001600947,0.5322557],"study_design_scores_gemma":[0.001995877,0.0007751731,0.002937875,0.000200989,0.0001719793,0.000001981076,0.0002596975,0.6832708,0.2905959,0.01705795,0.002279317,0.0004524801],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99418,0.0004929752,0.002994595,0.00007542874,0.0003172071,0.001150623,0.00002868532,0.0002209026,0.0005396318],"genre_scores_gemma":[0.9915636,0.0003685591,0.007513458,0.00001612197,0.00004468028,0.0004100749,0.0000127779,0.00006374865,0.000007032484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.683005,"threshold_uncertainty_score":0.915614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06868414131777051,"score_gpt":0.4026892732681315,"score_spread":0.334005131950361,"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."}}