{"id":"W4408602337","doi":"10.1117/12.3043859","title":"Modelling photo-detection efficiency in SiPMs and measuring the quantum yield of silicon: a flexible model from the UV to the IR","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced Semiconductor Detectors and Materials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"TRIUMF","funders":"","keywords":"Silicon; Optoelectronics; Yield (engineering); Quantum yield; Quantum efficiency; Quantum; Materials science; Silicon photomultiplier; Computer science; Optics; Physics; Telecommunications; Detector; Fluorescence; Quantum mechanics","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":[0.000265635,0.0001197337,0.0001521089,0.00004367531,0.00009708176,0.00003708099,0.0002035638,0.00004893731,0.00001148074],"category_scores_gemma":[0.00004375112,0.00006088703,0.0000321864,0.0002100851,0.00002800258,0.00006944909,0.00006335502,0.0001341516,0.000001440684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002916457,"about_ca_system_score_gemma":0.00001152756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008190753,"about_ca_topic_score_gemma":0.0002549117,"domain_scores_codex":[0.9993234,0.00002262407,0.0002328581,0.0001533977,0.0001006879,0.0001670224],"domain_scores_gemma":[0.9994181,0.0002270381,0.00002307114,0.0002918545,0.00002138064,0.0000185283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000902203,0.000002949016,0.000007011588,0.000009340217,0.000006043512,5.578352e-8,0.0004742751,0.610712,0.3881301,0.0001283798,0.00001178678,0.0005090844],"study_design_scores_gemma":[0.00006451066,0.000006675323,0.00003363374,0.00004112887,0.00000647245,2.220865e-7,0.000291861,0.6313613,0.366617,0.001473939,0.00005210853,0.00005110008],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7421531,0.0004950096,0.2563622,0.00006036634,0.000206587,0.0002561403,0.00000597364,0.00006375866,0.0003969069],"genre_scores_gemma":[0.9994788,0.00008651728,0.0001869327,0.00009881836,0.0000322872,0.00004162372,3.203083e-7,0.00001319904,0.0000615611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2573256,"threshold_uncertainty_score":0.2482901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03019335763305334,"score_gpt":0.2291428679997869,"score_spread":0.1989495103667335,"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."}}