{"id":"W2053976133","doi":"10.1364/cleo_at.2013.jw2a.58","title":"A high-speed quantum random number generator prototype","year":2013,"lang":"en","type":"article","venue":"","topic":"Quantum Mechanics and Applications","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Random number generation; Robustness (evolution); Computer science; Quantum; Generator (circuit theory); Phase noise; Electronic engineering; Algorithm; Physics; Quantum mechanics; Engineering","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00005733624,0.0001170954,0.0001434579,0.00001435736,0.0001056246,0.00008504561,0.0001253267,0.00002605632,0.01978654],"category_scores_gemma":[0.000001374182,0.0000905901,0.00007064194,0.0001088248,0.00001331091,0.00009757989,0.00003206319,0.00007871861,0.005740022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005984627,"about_ca_system_score_gemma":0.00002929442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001002453,"about_ca_topic_score_gemma":0.000001587263,"domain_scores_codex":[0.9993201,0.00001663823,0.000175372,0.0001921823,0.00009392171,0.0002017824],"domain_scores_gemma":[0.9995003,0.00001998324,0.00004894537,0.0002523885,0.00008340491,0.00009502794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000005695774,0.00008602651,0.0006373164,0.000001819335,0.00002394367,7.45182e-8,0.00001558969,0.000002399615,0.005952226,0.9798381,0.01199571,0.001441071],"study_design_scores_gemma":[0.002442851,0.00005088744,0.0005757028,0.000008422416,0.00002678607,7.958582e-7,0.0001482997,0.02875691,0.0207451,0.9062808,0.04052838,0.0004351301],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8929148,0.000005869458,0.08864406,0.0009988027,0.0001616183,0.001719472,0.00001917869,0.00009752909,0.01543872],"genre_scores_gemma":[0.9960399,6.805154e-7,0.001257545,0.0001302523,0.0003127346,0.000669506,0.00003176773,0.00001873748,0.001538822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1031252,"threshold_uncertainty_score":0.9950341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01043258799752173,"score_gpt":0.2403983049195426,"score_spread":0.2299657169220209,"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."}}