{"id":"W2911150257","doi":"10.1063/1.5084692","title":"Large solid angle and high detection efficiency multi-element silicon drift detectors (SDD) for synchrotron based x-ray spectroscopy","year":2019,"lang":"en","type":"article","venue":"AIP conference proceedings","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Detector; Collimated light; Context (archaeology); Spectroscopy; Silicon drift detector; Synchrotron; Silicon; Optics; X-ray detector; Optoelectronics; Photon; Materials science; Physics; Computer science","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":[0.0002436906,0.0002583044,0.0002599391,0.00009627233,0.0002226033,0.000149434,0.000161694,0.00006282869,0.0003855719],"category_scores_gemma":[0.00001129864,0.0002451789,0.00006342244,0.0001702063,0.00003967574,0.0003165311,0.00005008628,0.0001536297,0.00005450638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004985419,"about_ca_system_score_gemma":0.00007752719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004181203,"about_ca_topic_score_gemma":0.0000113707,"domain_scores_codex":[0.9985067,0.000007027626,0.0002735484,0.000458977,0.0001800838,0.0005736576],"domain_scores_gemma":[0.9994047,0.00003507712,0.0001576784,0.0001094742,0.0001768454,0.0001162061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008268575,0.000123307,0.3105461,0.00008372504,0.0000280031,9.216969e-8,0.0007120449,0.000007207424,0.6842949,0.0006496434,0.00001962451,0.003452675],"study_design_scores_gemma":[0.002440264,0.0005076317,0.0608136,0.00006345396,0.00003066236,2.72721e-7,0.0005084322,0.2468224,0.6873987,0.0002062828,0.0008047276,0.0004035438],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9318394,0.00001499608,0.06674066,0.00004860748,0.0001920195,0.0008273671,0.00002318606,0.0000728821,0.0002408899],"genre_scores_gemma":[0.9980537,0.000002447162,0.00139252,0.00004597591,0.0001126311,0.0002171493,0.00001630082,0.00002504919,0.0001341952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2497325,"threshold_uncertainty_score":0.9998106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01145093517006368,"score_gpt":0.2487831682863864,"score_spread":0.2373322331163227,"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."}}