{"id":"W3009582342","doi":"10.1016/j.nima.2020.163757","title":"Single electron–hole pair sensitive silicon detector with surface event discrimination","year":2020,"lang":"en","type":"article","venue":"Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"SLAC National Accelerator Laboratory; Fermilab; U.S. Department of Energy; Office of Science; National Science Foundation","keywords":"Detector; Silicon; Electron; Resolution (logic); Optoelectronics; Materials science; Leakage (economics); Crystal (programming language); Enhanced Data Rates for GSM Evolution; Single crystal; Atomic physics; Optics; Physics; Nuclear magnetic resonance; Nuclear physics; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004705581,0.0005999331,0.0006654679,0.0007176425,0.0004398752,0.0009022721,0.001474724,0.001142201,0.0122002],"category_scores_gemma":[0.0004260667,0.0005068948,0.0004147581,0.0008654741,0.0002596306,0.0006548052,0.0008894128,0.0005303485,0.003117046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003833077,"about_ca_system_score_gemma":0.0005028992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002464839,"about_ca_topic_score_gemma":0.0007931794,"domain_scores_codex":[0.9993911,0.00006462887,0.00002467681,0.0002266097,0.0002220551,0.00007099379],"domain_scores_gemma":[0.999491,0.0001316598,0.00005458669,0.0001233906,0.0001572552,0.00004215193],"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":[0.001313644,0.0002701958,0.00883869,0.0002341909,0.0001325696,0.0004375458,0.00006805751,0.000912726,0.9039868,0.005288862,0.007338227,0.0711785],"study_design_scores_gemma":[0.0001037039,0.0007974809,0.009703833,0.00001909342,0.0001033831,0.002057583,0.00005549656,0.03697031,0.9274103,0.001541458,0.0211754,0.00006198184],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4826785,0.001805191,0.4351563,0.0006577359,0.0008223375,0.000551702,0.004397353,0.006901634,0.06702922],"genre_scores_gemma":[0.8521149,0.0002206401,0.1198304,0.0005694312,0.0001335945,0.0001453158,0.002057565,0.0001798106,0.02474829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0122002,"threshold_uncertainty_score":0.04081374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05151510970386819,"score_gpt":0.3477373407747963,"score_spread":0.2962222310709281,"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."}}