{"id":"W4389951215","doi":"10.1016/j.nimb.2023.165209","title":"Comparison of analogue and digital silicon drift detectors in PIXE analysis","year":2023,"lang":"en","type":"article","venue":"Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms","topic":"X-ray Spectroscopy and Fluorescence Analysis","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Silicon; Detector; Materials science; Optoelectronics; Environmental science; Physics; Optics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005209046,0.0006328129,0.0005561949,0.002296114,0.0005306271,0.003154474,0.001460896,0.001335238,0.005827325],"category_scores_gemma":[0.008728423,0.0005744006,0.0003843866,0.002213717,0.0006684934,0.001608828,0.0008312172,0.0005093247,0.0009613296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009703138,"about_ca_system_score_gemma":0.0006298957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00145434,"about_ca_topic_score_gemma":0.003993763,"domain_scores_codex":[0.9973349,0.0007610349,0.0001693979,0.0004968807,0.001062986,0.0001747716],"domain_scores_gemma":[0.9930524,0.004812172,0.0001902803,0.0004980639,0.001337961,0.0001092751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01241889,0.0004992146,0.04243133,0.001801946,0.0004977613,0.0003164132,0.0006316588,0.008970044,0.383212,0.01355041,0.003311705,0.5323585],"study_design_scores_gemma":[0.0005901043,0.002235224,0.06175582,0.0003083146,0.001022746,0.00248614,0.0008395659,0.1456257,0.7301957,0.004799994,0.04986699,0.0002737229],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4646491,0.01449512,0.4842982,0.0008519823,0.0007130021,0.0004133552,0.001575975,0.003091665,0.02991156],"genre_scores_gemma":[0.7250193,0.003954241,0.2606594,0.0003831004,0.0001091098,0.0001444816,0.0008318226,0.000631226,0.008267393],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005827325,"threshold_uncertainty_score":0.02754837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0463832292695369,"score_gpt":0.438001319260748,"score_spread":0.3916180899912111,"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."}}