{"id":"W4407911919","doi":"10.1140/epjc/s10052-025-13883-x","title":"Measurements of the quantum yield of silicon using Geiger-mode avalanching photodetectors","year":2025,"lang":"en","type":"article","venue":"The European Physical Journal C","topic":"Radiation Detection and Scintillator Technologies","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Queen's University; TRIUMF","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Silicon photomultiplier; Photodetector; Quantum efficiency; Photon; Quantum yield; Optoelectronics; Silicon; Geiger counter; Yield (engineering); Semiconductor; Physics; Saturation (graph theory); Quantum; Electron; Photon counting; Materials science; Optics; Detector; Fluorescence; Nuclear physics","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":[0.0005803065,0.000414353,0.0002973378,0.0007798794,0.0003076853,0.0006230099,0.0008480909,0.0004819211,0.001199731],"category_scores_gemma":[0.001096912,0.000265398,0.0002181389,0.0007733164,0.0005191274,0.0007198756,0.0004528543,0.0004774575,0.0003350162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007509184,"about_ca_system_score_gemma":0.0002129759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007581638,"about_ca_topic_score_gemma":0.001290028,"domain_scores_codex":[0.9993692,0.00007594523,0.00002355026,0.0001570924,0.0003087605,0.0000654494],"domain_scores_gemma":[0.9994788,0.0002848944,0.00008650096,0.00005509705,0.00007783197,0.00001699113],"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":[0.0002343957,0.00003983501,0.005996619,0.00009380249,0.00006287795,0.00009203803,0.0001598549,0.00591676,0.9670281,0.002959552,0.0001548135,0.01726144],"study_design_scores_gemma":[0.000007218389,0.0001503293,0.005968596,0.000009057619,0.00002070697,0.0001108912,0.0000397325,0.01914599,0.9726315,0.0007994427,0.001091426,0.00002515245],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9145314,0.001098227,0.07838918,0.00005759329,0.00002016879,0.00003916513,0.0005446732,0.0005156978,0.00480391],"genre_scores_gemma":[0.9827979,0.0004439724,0.01566051,0.00001517076,0.000007101257,0.00001902985,0.000174638,0.00003276419,0.0008488174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001199731,"threshold_uncertainty_score":0.005448282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.036928311061207,"score_gpt":0.2828587551887338,"score_spread":0.2459304441275268,"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."}}