{"id":"W2123955395","doi":"10.1109/tasc.2009.2018846","title":"Semiempirical Modeling of Dark Count Rate and Quantum Efficiency of Superconducting Nanowire Single-Photon Detectors","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Applied Superconductivity","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Nanowire; Detector; Resistive touchscreen; Physics; Superconductivity; Photon; Quantum; Photon counting; Quantum efficiency; Computational physics; Condensed matter physics; Optoelectronics; Quantum mechanics; Optics; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006182847,0.0002953733,0.0004665174,0.0004446345,0.0002624779,0.00006304225,0.0004077254,0.0001665163,0.00001558933],"category_scores_gemma":[0.00001224991,0.0002811785,0.0001744907,0.0009476383,0.0001923817,0.001086888,0.000005677041,0.0003740475,0.000003981694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005344583,"about_ca_system_score_gemma":0.00009081794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005962567,"about_ca_topic_score_gemma":0.000009685387,"domain_scores_codex":[0.997996,0.00009754278,0.0006473933,0.000485662,0.000415141,0.0003583049],"domain_scores_gemma":[0.9988551,0.0001649814,0.0001208645,0.0005654819,0.0001511986,0.00014244],"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":[0.00005471114,0.0006128464,0.00001166698,0.00007194073,0.00003007568,0.000001064716,0.002964046,0.01062033,0.9654361,0.008513388,0.000005335379,0.01167851],"study_design_scores_gemma":[0.0006569632,0.0003592411,0.0000702033,0.00005637884,0.00002920643,0.00001907502,0.001047562,0.2763045,0.7182465,0.002838035,0.00001142037,0.0003609262],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5371079,0.00002144157,0.4620964,0.00007673889,0.0001551393,0.0001767332,0.000008266372,0.00008632624,0.0002710795],"genre_scores_gemma":[0.9963247,0.00002844756,0.003496252,0.0001103176,0.000009965645,0.00001437047,0.000001107807,0.00001248922,0.00000233908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4592168,"threshold_uncertainty_score":0.9999641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02771682961510313,"score_gpt":0.2392577838023803,"score_spread":0.2115409541872771,"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."}}